Okay So…Vloggers You Know?

James Beasley, Mahta Marefat, Betsy Wo

The present article focuses on identifying how YouTube content creators shape their material and influence viewers’ language through storytelling. The evident popularity of YouTube among younger generations leads to the hypothesis that linguistic variants displayed by content creators subtly influence the conversation styles of young adults. This study was designed to gauge the correlations between YouTube viewing, storytelling frequency and variant usage among young generations through survey responses. The survey sample consisted entirely of UCLA students, who indicated high amounts of YouTube viewing and storytelling. Additionally, respondent data showed that many linguistic variants used by vloggers are also commonly used by respondents. Previous research on the impact and practices of vloggers also align with our results. The takeaways from our results suggest that the prevalence of YouTube viewing and personal storytelling among respondents are similar. Furthermore, the linguistic variants used by respondents match those used by YouTube vloggers, implying a subtle influence of vlogger language practices on viewer variant usage.

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The Innovative Internet

The world we exist in is dynamic. Constantly shifting and advancing, everything observed in our lives reflects the rapidity with which information is transmitted and trends rise to popularity. The internet is a large contributor to this speed, and allows for instant communication and advances that have enabled the growth of Western society. 

Since its inception, the internet has marked itself as a necessity — vast, collaborative, and informative — it is able to interweave itself into our daily lives. It has paved the way for innovative forms of communication, networking, and socialization; social media as an entity exists solely due to the impact and presence of the internet. 

One such social media platform that has gained enormous popularity is YouTube, a web-based service that allows users to both create and view videos online. If you have access to the internet, you have access to the billions of videos that are housed on YouTube. Viewers are able to utilize this in a plethora of capacities, whether that be for educational, motivational, or entertainment purposes (and these are only three basic categories in which people are able to interact with these videos). Content creators (people who record, edit, and post videos) are able to construct YouTube Channels, which act as a centralized location for all of their videos. They are able to design their own aesthetics and target specific audiences and populations through the videos they post. While there are many facets to creating popular content (performing certain acts, including other YouTubers in videos, interacting with viewers and outsiders, making specific types of videos such as lifestyle or beauty), it is through utilizing specific language and editing styles that these creators are able to attract their audiences and impact viewers’ lives. 

What do we know about vlogs?

To narrow down our investigation, we decided to focus on one video form: the vlog. While there are at least a dozen genres that exist on YouTube, we anticipated that nearly every college-aged student would have had exposure to vlogs in some way or another. 

First, we started off by finding a basic definition of vlogs, which we found in a study by Heather Molyneaux, Susan O’Donell and Kerri Gibson (2009):

“‘Vlogs,’ also known as video blogs, are video web logs[… ]Vlogs are a form of online publishing, allowing everyone with web access[…] to create and post content. Most vlogs are authored by individuals and focus on personal themes.”

This further proves our idea that multitudes of youth have connections to these types of videos, as they are created with the intention of fostering personal connections and sharing intimate details of a vlogger’s life. 

Yet settling on this genre of video is not narrow enough in its scope to truly observe any sociolinguistic phenomena. To rectify this, we decided to specify a target population — to identify not only a type of vlog, but also a similar group of vloggers. 

It is evident that YouTube is a social media platform where hundreds of millions of videos are posted telling or portraying the image of women (Molyneaux et al. 2009). Vlogging videos are not only showcasing women, but also influencing the women watching these videos. When focusing on the context of storytelling, there are certain methods vloggers use to keep their audience interested. In scientific terms, vloggers use a participation framework and language that reflects audience design through things like terms of address, questions, and directed language (Frobenius 2014). This basically means that vloggers produce their speech to create an environment where the viewers aren’t actually speaking but are still a part of the conversation. In a sense, there is an audience involvement resembling a face-to-face conversation, and more specifically, a storytelling conversation. When a vlogger tells a story, there is a lack of turn taking since the viewer isn’t actually able to reply, which is what frames the way vloggers speak (Frobenius 2014). If a viewer frequents a certain vlogger’s video, then a community-based knowledge system is formed, which results in a mutual understanding on many topics. In this situation, the fanbase becomes acclimated to the vlogger’s language variants, and may adapt these variants into their own speech. This is how we came to the conclusion that the linguistic variants displayed by these content creators must influence the conversation styles of young adults. Our study will help reveal the impact vloggers (strangers who feel like virtual friends) have on their audience. We were most interested in observing the speech trends in the young women of today. To do this, we needed to evaluate the effects the internet has on not only stylistic and linguistic changes among a specific population, including its reach, speed, and popularity, but also on the use of these variants in people’s lives outside of the internet.

How did we do it?

We took inspiration from an interesting prior study – a content analysis of vloggers, and audience response to these vloggers (Molyneaux et al. 2009). In this study, the subjects, who were all in their teens to 20s, were given a demographic background check and shown a few vlogs. A survey was then conducted to investigate insight into the influence of gender. We employed their survey method to collect and analyze data on the variable of speech variants. Our survey was distributed it to our peers online (through email, Facebook, and other social media), polling students on their personal demographic information as well as their entertainment preferences online. We also provided key phrases that exemplified the linguistic variants we investigated and asked that they self-report how they first came across the phrases, and how frequently they estimate their use weekly. In order to make our survey interesting, the second portion included fun stills and clips of the variants we were investigating in order to ensure the self-reported data was an accurate reflection of the variants (this way participants would be aware of which motions and phrases we were explicitly asking about, and could then compare to their own behaviors). We expected that the responses to the second part of our survey would garner more explicit and clear results exemplifying the variants in question. Here are some of the variants that we observed in vloggers, and used in our survey:

    1. Okay so…

    1. You know?

    1. Hand gestures

    1. The ‘welp’ expression

    1. Repeating words

    1. Pause and awkward smile 

What did we find?

Utilizing the data from our survey, we were able to generate the following figures that summarize results to key questions. As seen in Figure 1, all participants indicated they tell stories at least once a week, with over 60% reporting casual story-telling on a daily basis. This information is useful as it ensures the data we collected is actually applicable to our study. 

Additionally, Figure 2 also helps validate our results as it shows that all participants watch YouTube videos at least once a week. These statistics are crucial for our analysis as they confirm that students who responded to our survey are representative of our target population.

Some of the most used variants, as indicated by survey participants, include hand gestures, saying “you know” and “okay so,” using the ‘welp’ expression, and smiling awkwardly for effect. The total percent usage of each variant is summarized in Figure 3. 

In an effort to acquire more reliable data (as self-reported information can easily be inaccurate or falsified), we also analyzed recordings of people telling stories offline as well. We counted all instances in which the variants in question appeared in these exchanges and generated a frequency chart, as seen in Figure 4. This analysis revealed that the most commonly utilized variants offline include hand gestures, making faces, repetition, and smiling awkwardly for effect. 

A comparison of the trends observed from survey responses and the video recordings shows that overall, the most popular and widely-used variants are saying key phrases such as “okay so” and “you know,” giving an awkward smile, and using hand gestures and facial expressions. 

The big picture

The apparent growth of YouTube’s content creators and their following base led to our hypothesis that linguistic variants are used by YouTubers to draw and influence their audience. Our results support our hypothesis that linguistic features associated with popular YouTubers are utilized by our sample in their own personal conversations. First, the sample data indicates that almost the entirety of respondents (94.5%) engage in storytelling at least multiple times a week. Building on this, the entire sample watches YouTube at least once a week. The combination of these results imply that our sample was a strong representation of YouTube viewers, such that the respondents are evidently influenced to some degree by YouTube content. This combination of results also aligns with Zappavigna’s assertions (2012) regarding the substantial influence of internet content in our lives, since our sample’s frequency of watching YouTube is roughly the same as the frequency of their story-telling. In other words, our respondents spend almost as much time being influenced by YouTube content as they do influencing others with their own personal content.

Our results continue to illustrate the interaction between YouTube viewing and personal story-telling, and show that respondents often use linguistic variants associated with vloggers. The usage of each linguistic variant across our sample is at least 25%, with usage rates above 50% for seven out of the 12 variants. When compared to the frequency in which variants were used in the casual conversation recordings, each variant was used at least once, with three variants appearing at least 10 times. In sum, people do not just use vlogger linguistic variants in their own personal conversations, they use them frequently.

Some limitations to the conclusions of our study are based on potential ambiguity of our survey questions and influences from our respondents’ social backgrounds. The first question about story-telling frequency may be confusing to respondents, causing some to indicate more or less than they actually tell stories. This may explain the group of respondents that only tell stories once a week, or the group that tells stories multiple times a day. Additionally, some respondents may identify with social groups that frequently use linguistic variants that happen to overlap with the variants used by vloggers. For instance, our sample consisted of UCLA students, and UCLA language culture may have similar variant usage to vloggers. In this case, respondents are influenced by at least two separate entities, but the amount of influence from each entity varies. That is not to say that those respondents are not influenced by vloggers, but that the influence is possibly less than the results suggest. Overall, the limitations of our study may show that the influence and draw of vloggers’ linguistic variants are less than the results suggest, though still present.

Future research on this topic could focus on the influence of vlogger language variants on those who identify as men. A study focused on the differences in vlogger influence based on gender may reveal some factors that gender identity have on certain linguistic variant uses. Another topic that could be explored further is the growing influence of vloggers relative to traditional celebrities (e.g., actors, musicians, models). Influence on viewers may be stronger with vloggers due to relatability, but the extent of this effect should be investigated. Finally, the ability to which a popular vlogger can use their influence to market products may reveal that vloggers have more responsibility than they think.

 

Bibliography

Bestdressed, director. My last weekend in LA…. YouTube, 24 Oct. 2019, www.youtube.com/watch?v=IJcJEMAOJA4&t=53s.

Center for Health and Safety Culture. (2011, January). Validity of Self-Report Survey Data. Retrieved from https://www.minnetonkaschools.org/uploaded/Documents/Dist/Tonka_Cares/Reveal_What%27s_Real/Validity_of_Self_Report.pdf

Frobenius, Maximiliane. “Audience Design in Monologues: How Vloggers Involve Their Viewers.” Journal of Pragmatics, vol. 72, 2014, pp. 59–72., doi:10.1016/j.pragma.2014.02.008.

Frobenius, Maximiliane. “Beginning a Monologue: The Opening Sequence of Video Blogs.” Journal of Pragmatics, vol. 43, no. 3, 2011, pp. 814–827., doi:10.1016/j.pragma.2010.09.018.

Molyneaux, H., O’Donnell, S and Gibson, K. (2009). YouTube Vlogs: An Analysis of the Gender Divide.

Ur Mom Ashley, director. Forcing a GLOW UP the Day before College (FAST Transformation)YouTube, 8 Sept. 2019, www.youtube.com/watch?v=3YCM-Gj1b4w&t=50s.

Ur Mom Ashley, director. My first week of college VLOG *junior year*. YouTube, 13 Sept. 2019, https://www.youtube.com/watch?v=wZr4k_Z6APw&t=124s.

Zappavigna, M. (2012). Discourse of Twitter and Social Media: How We Use Language to Create Affiliation on the Web.

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Why do people interrupt? It depends on the situation you are in.

Mariane Bangui, Oi Kei Cheung, Oscar Franco, Yunjae Lee

We have all been interrupted by others while saying something. Being interrupted is a universal experience, but have you ever hypothesized what contexts affect how we interrupt? Here we present a project investigating how dynamics in negotiations can be reflected through the use of interruptions (N=100) under familial and political contexts.

We hypothesized that (1) family members use interruptions to build rapport and politicians use interruption to exert power, as well as (2) belonging to a culture, whether to individualistic or collectivistic culture, contributes to which type of interruption one prefers to use in a negotiation. To see whether our hypotheses could be justified, we found the frequency of each type of interruption and applied a conversational analysis that examined the influence of culture and context on the use of interruptions in a conversation.

After all data was collected and analyzed, we found that our data did not fully support our initial hypothesis. Even though people in the familial context use rapport interruption to maintain a harmony within negotiations, the results showed that members also use power interruptions just as frequent as in a political context to exert authority. On the other hand, we discovered that the fact of being raised in a collectivistic culture does not affect a person using more rapport or neutral interruptions than power interruptions. Other factors, such as carrying out self-perceived role in a negotiation, contributed much more to the occurrence of our findings.

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Introduction

We have all been interrupted by others while saying something. Being interrupted is a universal experience, but have you ever thought of what factors affect how we interrupt? In the following, our team will present to you in what ways dynamics in negotiations can be reflected through the use of interruptions under familial and political contexts. 

By comparing U.S. politicians to American families of Asian descent, we will first examine which type of interruptions (power, rapport, or neutral) people prefer using in these two situations respectively. We assume family members may mainly use interruptions to build rapport, while politicians interrupt for the purpose of exerting power. 

After taking a closer look at the composition of each interruption, we are going to analyze the cultural background of why some interruptions emerge in the conversations to search for potential generalizations about the connection between contexts and the use of interruptions. We hope that by considering the influence of individualistic/collectivistic culture (American vs countries like Korea and the Philippines), we can understand why certain interruptions occur. 

Background information

Conversation is usually organized in a way, such that only one person speaks at a time. Speakers take turns talking, and use a wide range of linguistic cues indicating the end of their turn (Sacks, Schegloff, & Jefferson 1974 p.670). However, norms of turn-taking can be violated when a speaker “starts up in the midst of another’s turn at talk[ing]” as well as “disturbs his/her finishing” (Jefferson 1984 p.16). 

Interruption in turn-taking has been regarded as a sign of possessing power over others in past literature. Natale et al.’s discovery in 1979 shows the more confident a person is about his/her position with regard to the conversation partner(s), the higher the rate of successful interruptions he/she imposes (p.874). Besides displaying social power, interruptions can serve other functions. According to Goldberg’s study (1990), interruptions are not only acts of conflict but also acts of collaboration. On some occasions, the speaker interrupts so as to demonstrate that he/she understands the conversation and relates to his/her listeners. Yet, there are interruptions that neither aim at building rapport nor displaying power — neutral instances where “repair[s], repeat[s], or clarification[s] of the prior, interrupted utterance” take place (p.888). Building on Goldberg’s findings (i.e., how to identify three main types of interruption), our team finds the relationship between interruptions and contexts is worth further discussion.

Another question we would like to answer is why certain groups use certain interruptions. Our potential explanation will be based on the collectivism-individualism theoretical framework. The framework classifies cultures into two categories: individualist (e.g., the U.S.) and collectivist (e.g., China, Korea, and the Philippines). The former prioritizes individual attainment above team goals, creating a sense of competition among people. In collectivist cultures, on the other hand, people place more focus on achieving group goals than satisfying personal desires (Triandis and Gelfand 2012 p.513). 

Indeed, some research provides empirical evidence to support the idea that culture plays a significant role in determining the occurrence of interruptions. For instance, Li mentioned in his study that Americans use more intrusive interruptions in conversations than Japanese (2001 p.261-262). We therefore aim to extend people’s understanding of the relationship between contexts and interruptions by applying the cultural theory of individualism and collectivism. 

Methods

Investigating interruptions within a familial situation, two of our group members voice-recorded a couple of (around 5-10) negotiations in casual dialogue between the parent and children in those families. In both the Filipino and Korean households, our group members left their recording devices in the rooms where each family negotiated about their certain topics. The members then uploaded the recordings they collected to Youtube and pinpointed the exact times that interruptions occurred in the conversations. They transcribed all the labeled interruptions (as well as a few utterances and spoken sentences before/after the interruption) for future analysis. 

In order to explore interruptions within a political environment, we analyze the 2016 presidential debates. This debate featured Republican nominee Donald Trump and Democratic nominee Hillary Clinton. The debates’ transcripts that we based on and added more details into can be found here.

With the data we gathered, we identified all interruptions occurring in the negotiation. Then, we categorized them into three types of interruptions: power, rapport, or neutral interruptions. To see whether or not our hypotheses could be justified, we not only counted the frequency of each type of interruption but also a conversational analysis that examines the influence of culture and context on the use of interruptions in a negotiation.

Results

Figure 1: Percentage of different interruption types in political and familial contexts.

 

Figure 1 reflects the percentage of each interruption type (i.e., power, neutral, and rapport) occurring in political and familial contexts. We discovered 50 interruptions within the families and throughout the debates from the political aspect respectively. Among the politicians, 68% of interruptions is used to exert power while 32% of them belongs to neutral interruption; in the extreme, no rapport interruption could be found. Unexpectedly, the most frequently-appeared type of interruption in familial context is power (25 out of 50). Rapport interruption only accounts for 14% of the total interruptions in familiar negotiation, and the percentage of neutral interruption exceeds it by 22%.

Table 1: Interruption types in political vs familial contexts.

 

 

 

 

 

 

The most significant difference between political and familial negotiation is the frequency of rapport interruptions. As you can see in Table 1, the data that we have collected from the political dialogue only had power and neutral interruptions. It means rapport interruption did not occur in the political negotiation. On the other hand, we can find all three types of interruptions in the familial negotiation. We initially assumed that family members mainly use interruptions to build rapport; meanwhile, politicians interrupt for the purpose of exerting power. Yet, now it seems like what we assumed is not the case in reality.

Discussion and Conclusions

As mentioned earlier, we discovered that family members and politicians interrupt for the purpose of exerting power most times. But unlike politicians, family members occasionally use interruptions to build rapport. So why is there such a difference? Let’s try to answer this question by first looking at this excerpt adapted from one of the audio recordings that depicts a negotiation among family members:

1  S:   I don’t drink mom (0.8) or smoke (0.3) so you’re good.

2  S:   I don’t do neither of those

3  S:   I know better than that

4  M:   We don’t:::

5  D:       [Can I chaperone mom?=

6  M:   =Eh that’s if you go with him

7  D:                         [Yes, I will go with him

8  S:   (1.0) To drop me off (chuckles)

9  D:   I, I

10 M:      [we::ll

11 D:           [I:: will spy on him 

12 M:                  [then you’re gonna leave him

13 D:   No I won’t leave him

In this negotiation, the 17 year-old boy (S) is trying to convince his “strict” mom (M) to let him go to a birthday party. The mother is hesitant and skeptical of letting her son go due to the family’s upbringing and cultural background. When the mother is giving a lecture to the son, the daughter (D) interrupts the mother and offered if she could chaperone her brother to the party. Her suggestion created a middle ground between the worried mother and the son who wants to go to the party. What the daughter did is an example of rapport interruption in familial context.

But in political context, none of the interrupters empathizes with the interruptee and/or the speech content. Before explaining why this is the case, take a look at the following excerpt (a modified version of the original transcript):

1  W:   Hold on [hold on wait Hold on, folks.

2  T:           [nono that

3  W:   Because we… this is going to end up getting out of control
        Let’s (0.2) try to keep it quiet so 

4  W:   (0.5) for the candidates and for the American people=

5  T:   =So just to finish on the borde[rs

6  W:                                  [Yes

7  T:   She wants open borders (0.2) People are going to pour into 
        our country 

8  T:   People are going to come in from Syria. She wants 550 
        percent more people than Barack 

9  T:   <Obama, and he has> thousands and thousands of people
        They have no idea where they come from...

This excerpt shows an example of neutral interruption in political context. The moderator Wallace (W) acted as a participant who held a neutral stance, and tried not to let candidates like Trump (T) move away from the topic throughout the negotiations. We all noticed that the role that Wallace played in the negotiation is moderator, a role that requires him to adopt a neutral stance.

Not only was the stance that he can adopt restricted but also his use of interruption types was limited to neutral and power. On the contrary, the daughter in the familial context was inclined to maintain harmonious relationship among the two participant who were in a direct confrontation. Being a mediator, she could pick side and choose to help the son to persuade the mother for letting him to go to the party. Factors like this play a significant role in creating situations where certain type of interruption happens (more frequently) in one context but not the other.

Moreover, the fact of being raised in a collectivistic culture does not affect a person using more rapport or neutral interruptions than power interruptions. Rather than cultural reasons, other factors (such as carrying out self-perceived role in a negotiation) contributed much more to the occurrence of our findings. Therefore, in the future, if we are given a chance to continue our study, we will identify more factors behind the way of how political and familial contexts affect speakers’ preference in which type of interruptions they use. And hopefully, we will seek another theoretical framework to explain all the differences we discover.

References

Clayman, S., & Heritage, J. (2002). The News Interview: Journalists Public Figures on the Air, doi: 10.1017/CBO9780511613623. Cambridge University Press.

Clayman, S., & Heritage, J. (2010). Talk-in-Action: Identities, Interaction and Institutions. Journal of Language and Politics, 320.

Eckert, P. (2012). Three waves of variation study: The emergence of meaning in the study of sociolinguistic variation. Annual Review of Anthropology, 41, 87-100. doi: 10.1146/annurev-anthro-092611-145828

Goldberg, J. A. (1990). Interrupting the discourse on interruptions. Journal of Pragmatics, 883–903.

Jefferson, G. (1984). Notes on some orderliness of overlap onset. Discourse analysis and natural rhetoric, 11- 38.

Li, H. (2001). Cooperative and Intrusive Interruptions in Inter and Intracultural Dyadic Discourse. University of Northern British Columbia. 20. 259-284. doi: 10.1177/0261927X01020003001

Natale. M., Entin, E., & Jaffe, J. (1979). Vocal interruptions in dyadic communication as a function of speech and social anxiety. Journal of Personality and Social Psychology, 875. doi: 10.1037/0022-3514.37.6.865

Sacks, H., Schegloff, E. A., & Jefferson, G. (1974). A simplest systematics for the organization of turntaking in conversation. Language, 50, 696 – 735. doi: 10.17323/1728-192X-2015-1-142-202

Schegloff, E. (2001). Accounts of Conduct in Interaction: Interruption, Overlap, and Turn-Taking, 287-320. doi: 10.1007/0-387-36274-6_15

Schenkein, J. (1978). Identity Negotiations in Conversation. 57-78. doi: 10.1016/B978-0-12-623550-0.50009-4.

Triandis, H., & Gelfand, Michele J. (2012). A theory of individualism and collectivism. Handbook of theories of social psychology, Vol. 2 498-520. doi: 10.4135/9781446249222.n51

Zimmerman, D., & West, C. (1975). Sex roles, interruptions and silences in conversation, 211. doi: 10.1075/cilt.125.12zim

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Gender Differences in Written Language

Jasmine Murphy, Hannah Hong, Kyungjo Kim, Omar Balawag

This study investigates gender differences in written language. Particularly, by analyzing cover letters for women-preferential language indicators, we find how gender is enacted in formal, written contexts. Furthermore, we investigate how usage of women’s language indicators is affected when discussing subjects deemed to be masculine or feminine. Therefore, by surveying participants for their attitudes towards STEM and Humanities fields, we find that identification of a subject as masculine or feminine did not have as significant an effect on language usage as whether participants perceived the fields to be female or male-dominated. Therefore, this study finds that considerations of social and audience expectations plays the greatest role in whether writers use of gender-linked language indicators.

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Introduction

While people know that there are differences in the way men and women think, there has been an influx in research that proves that these differences extend to the communicative level, that is, the way that people use language. Studies focused on the ways that biological sex impacts language fail to understand that the key factor in gendered language is in the performance of these differences (Fitzpatrick, Mulac, & Dindia, 1995). In other words, people behave in ways that follow their perceptions of gender and masculine and feminine identities (Janssen & Murachver, 2004). In these situations, the question becomes: how do people perform gender?

‘Performance’ within language can be seen in the ways that people phrase things, their word choices, tone, voice pitch, etc. All these factors and more can influence how people express their gender identity. However, the ways that these factors indicate femininity or masculinity differ between spoken and written forms of communication. Additionally, these factors might be affected by different external influences. For instance, writers do not receive immediate feedback based on the reactions of the person they are communicating with; hence, they are not directly faced with social and audience pressure to behave in alignment with gender stereotypes (Janssen & Murachver, 2004). Furthermore, writers have more time to consciously construct their content and thus are able to modify the degree to which they reveal gender (Janssen & Murachver, 2004).

Background Information

Robin Lakoff’s findings in Language and Woman’s Place (1973) indicates the existence of ‘women’s language,’ which is characterized by an identifiable group of linguistic features, including hedges (e.g. sort of), fillers (e.g. well, you know), tag questions (e.g. She’s very nice, isn’t she?), empty adjectives (e.g. charming), and intensifiers (eg. I like him sooo much.), among others. According to Lakoff, using these “women’s speech” features function to express femininity, lack of assertiveness, and subordination in a male-dominated society (Lakoff, 1973). The difficulty in using these features to support Lakoff’s claim about subordination and dominance can be seen in the way multimodality of these features within communication. For instance, tag questions can be used as a form of passive-aggressive speech and as a way to show subordination. Lakoff called these features “women’s language indicators” because of their increased presence within women’s speech. Additional research has also reported the existence of similar phenomenon. In a study by Fitzpatrick et al. (1995), women reportedly used more polite forms of speech, made references to emotion, and used communication to develop and maintain rapport, whereas men were more likely to report facts, solve problems, and debate issues. In this case, the phenomenon might be the same, but the reasons for their appearance differs.

However, this understanding of women’s language indicators within speech has generated a few questions. Are these really feminine language indicators or are they product of something deeper? Does society influence the way that people communicate, not just within speech, but also in their writing? Can this affect how people are perceived when applying for jobs? While the possibility of language indicators actually affecting the success of job applicants is the debate of another study, this research attempts to understand if there is a certain degree of transfer in these features across mediums and the extent to which these indicators are present in written works.

If Lakoff’s (1973) observance of the dominance model is correct, it suggests that people – in particular, women – use subordinate speech to ingratiate themselves with the people around them. This is particularly relevant in environments like the workplace, which have hierarchical positions of dominance and subordination that might influence an individual’s chance of success or failure beyond their conversational capabilities. In addition to the dominance model, there are other reasons why feminine language indicators might appear in written forms of communication. For instance, when speaking about topics deemed to be feminine, individuals tend to use more feminine language indicators and vice versa (Janssen & Murachver, 2004).

Hypotheses

The objective of our research is to determine if women’s language indicators also occurs in written, formal works, particularly within cover letters, where the usage of hedges and fillers, may be considered inappropriate. We will identify which linguistic features are indicative of women’s language in formal written contexts and how frequently they occur. In addition, we will analyze whether the interpretation of topics — like STEM or Humanities fields— as masculine or feminine affects the frequency of women’s language features used in writing and the degree of influence in comparison to personal gender identities. 

As we conduct our research, we hypothesize that gender-associated linguistic features will be evident in formal written forms of communication. Additionally, we predict there will be an inclination to use features associated with women’s language when discussing subjects determined to be feminine and an aversion from using such forms when the subject is interpreted as masculine.

Based on these hypotheses we have generated several predictions about our research. First, while the perceptions of the gender divide – as well as expression of the participants’ gender identity – will have the most influence on indicator usage, topics deemed masculine or feminine will also have an impact on language use. Since we predict that STEM fields will be considered masculine and Humanities fields feminine, that women will have more indicators than men, and that individuals in the humanities fields will use indicators more often than STEM, we predict that the greatest number of these feminine language indicators will be present in cover letters written by women/feminine identities in the Humanities field.

The usage of these indicators can inform us on how and why gender differences in language are performed in different contexts. It will also help to explain why perceptions of STEM and Humanities fields work in correlation with feminine language features. Based on our results, we might be able to find implications for whether linguistic features can be used by both men and women as they modify their usage in specific contexts to align with particular expectations, which would have implications for how we perceive gender.

Methods

Our participants in this study were student volunteers between eighteen and thirty years old. Through the use of a questionnaire, we received cover letters from the four populations were comparing: Humanities women/feminine identities, STEM women/feminine identities, Humanities men/masculine identities, and STEM men/masculine identities. Our goal was to receive an even number of cover letters from each of our participant groups, of which we received a total of sixteen cover letters.

This study was conducted through surveys and analysis of the submitted cover letters. Participants were asked to fill out a survey asking several questions related to their background and views on related topics, like how they perceive STEM and Humanities fields. See Appendix for details. They were also asked to upload a sample copy of their cover letter. This sample was then analyzed through a series of software (called Atlas.ti Cloud and Voyant) that are designed to create ‘codes’ qualitatively and quantitatively code for particular language features. Particularly, we coded for five women’s language indicators: 1) Hedges: which we defined as being indirect, vague, cautious (perhaps, maybe); 2) References to Emotion: such as happiness, sadness, love; 3) Uncertainty Verbs: like think, believe; 4) Empty Adjectives: which we defined as adjectives that “soften” speech without contributing meaningful information beyond a slightly positive meaning (adorable, gorgeous); and 5) Intensifiers like really, so, extremely. For example, the indicators analyzed are shown in the table below. 

We also calculated the average frequencies between each of the categories that we were looking at: women, men, STEM, Humanities, Humanities women, Humanities men, STEM women, and STEM men. Additionally, we found the standard deviation for each of these groups to better understand the amount of variance found amongst them. 

Results

The responses we received from our participants made it clear that from both a societal and personal perspective, most people perceive the STEM fields as being masculine/male-dominated. In contrast, the perceptions of the Humanities fields received mixed results, as participants seemed to be unable to reach a consensus about the field being either feminine/female-dominate or masculine/male-dominated. See the tables below for more details.

 

We discovered that women overall used more language indicators than men, but also that participants in the STEM field used indicators more frequently than individuals in the Humanities majors. After breaking down the groups further, we discovered that STEM women use the language indicators more frequently than any of the other groups, but also that STEM men use these indicators more often than Humanities men, although slightly less often than Humanities women. 

In terms of Standard Deviation amongst participant results, we discovered that between the Humanities, STEM, women, and men, the groups with the least amount of variation are women and STEM. Between Humanities men, Humanities women, STEM men, and STEM women, the groups with the lowest Standard Deviation are Humanities women and STEM men. This indicates that while STEM women have the most frequent usage of women’s language indicators, Humanities women have the most consistent frequencies, along with STEM men. See the Standard Deviation table below for more details.

 

Discussion

The central finding of this work is that STEM women and STEM men use feminine language indicators more frequently than their Humanities counterparts. While we predicted that Humanities women would have the highest frequency of feminine language indicator usage, women in general used these indicators more frequently than men, regardless of their fields. This suggests that there are additional factors that might have influenced the results.

After tallying the responses to the survey (see Appendix for more details), it is clear that people’s impressions of the STEM and Humanities fields had an impact on their usage of feminine language indicators. As mentioned previously, while the participants’ perceptions of the language divide were mixed for Humanities, they consistently perceived a divide within STEM, which indicates that they might have been influenced by these perceptions when writing cover letters. In accordance to Lakoff’s model of dominance and subordination, their higher frequency within the STEM fields also implies that participants are more sensitive to the ways that gender and power interact within STEM fields.

Conclusion

While this study contributed to our understanding of the interaction between gender and language, there are several limitations. The small scale of the study makes it difficult to determine if the phenomenon observed extends beyond our small population. The results of this study imply that it is inaccurate to call these linguistic features ‘women’s language indicators’ as they are present in both genders. Instead it would be better to say that these language features are the result of the perceived dominance divide between men and women, but also that these are ‘subordination indicators’ and not necessarily restricted to women’s language. To claim otherwise ignores their presence within men’s speech and written forms of communication.

 

References

Argamon, S., Koppel, M., Fine, J., Shimoni, A. R. (2003). Gender, genre, and writing style in formal written texts. Text, 23, 321-346. Retrieved from http://writerunboxed.com/wp-content/uploads/2007/10/male-female-text-final.pdf

Fitzpatrick, M. A., Mulac, A., & Dindia, K. (1995). Gender-Preferential Language Use in Spouse and Stranger Interaction. Journal of Language and Social Psychology, 14(1–2), 18–39. https://doi.org/10.1177/0261927X95141002

Janssen, A. & Murachver, T. (2004). The Relationship between Gender and Topic in  Gender-Preferential Language Use. Written Communication. 21.344.10.1177/0741088304270028.

Lakoff, R. (1973). Language and Woman’s Place. Language in Society, 2(1), 45-80. Retrieved from http://www.jstor.org/stable/4166707

Mulac, A., Studley, L.B., & Blau, S. (1990). The gender-linked language effect in primary and secondary students’ impromptu essays. Sex Roles, 23, 439-470.

Newman, M. L., Groom, C. J., Handelman, L. D., & Pennebaker, J. W. (2008). Gender differences in language use: An analysis of 14,000 text samples. Discourse Processes, 45(3), 211-236. Retrieved from http://dx.doi.org/10.1080/01638530802073712

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Language and Power in Politics: A Gender Stereotype Game

Sarah Thomas, Emma Greene, Cameron Brewer, Jamie Dela Cruz

With 2020 fast approaching, everybody has their eyes on the many candidates running for president, calling into attention how they frame particular issues to gain public support. The mixed-gender debates within the Democratic party raise the question of how this new dynamic will affect future political conversations. However, it’s no secret that women have a harder time making themselves heard, with their gender inspiring the public to maintain traditional stereotypes about them.

Existing gender inequalities, or sexism, persist in language, and can be maintained through the speaker and their audience (Suleiman & O’Connell 2008). In this context, the relationships with a candidate to other candidates and the public reflect a power dynamic that women must handle to assert their own place in the political sphere. To understand how these candidates navigate mixed-gender debates, we looked at one of the Democratic primaries, paying special attention to what language tactics they used.

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Introduction

The United States is a melting pot of individuals with unique backgrounds, cultures, and ideals. However, this diversity is not adequately reflected in the country’s political realm. One such identity that is not equally represented is that of women; despite making up over half of the United States’ population, women represent a mere 23.6% of congressional office (Rutgers 2019). Gender politics is essential to help explain why women are so underrepresented in elective offices.

Every speech, conversation, and debate is thoroughly analyzed, critiqued, and judged by the press and public. With the upcoming Presidential election, the Democratic party’s mix-gendered political debates create a distinct dialogue between candidates and with their audience.

Politicians are intentional with their language, having a team of writers work with them to decide how they want to speak about a particular issue. In the context of gender, some linguistic functions are perceived as linked to one gender more than the other; this association gives rise to potential stereotyping of politicians based on how they speak, not their politics (Suleiman & O’Connell 2008). Communication differences and gender communicative patterns have been found to link specific traits with gender (Grebelsky-Lichtman & Katz 2019).

The present study seeks to better understand how gender communication structures of women and men in politics compared to one another in terms of usage and relate these findings to press and public reaction.

Background information

In a study that looked at how much women and men spoke, it was found that even though women speak less than men, men lashed out when they believed there were more women talking than them. This discovery emphasized the idea that men truly dominated public talk and pushed back when women tried to gain equal footing (Mooney & Evans 2015). Multiple studies have found a relationship between patterns in communication differences and gender, which are summarized in the following table (Grebelsky-Lichtman & Katz 2019).

Methods

The project design investigated how politicians spoke in a mixed-gender debate, specifically the October 15, 2019 Democratic Primary Debate.

Using the video recording  and online transcript  provided by CNN and the Washington Post, the candidates were considered individually and compared with each other. He or she was analyzed for feminine and masculine identifiers, based on Grebelsky-Lictman and Bdólach’s verbal gender communicative accountability framework, and received a mark for each unique use of the aforementioned linguistic features (2019).

After averaging how frequent each gender and each individual candidate used communicative identifiers, the speaking styles of the top and bottom-rated candidates of both genders were examined to determine whether there was a relationship between communicative patterns and public appeal.

The purpose of analyzing political candidates in the context of gender-oriented communication is to answer the following questions:

    1. How do the gender communication structures of female and male American politicians compare?
    2. What, if any, masculine communicative structures are most commonly used by females? What, if any, feminine communicative structures are most commonly used by males? In these instances, are structures that are used equally by both females and males more gender-neutral?
    3. Are a candidate’s polling numbers related to which opposite gender communicative structure they use?

Results

From New York Time’s Democratic Polling Data, we found Elizabeth Warren to be the top female candidate and Joe Biden the top male candidate. A total of 61.7% of Elizabeth Warren’s speech patterns were considered masculine, while Joe Biden’s speech patterns had a ratio of 70.3% that were masculine-identified. When comparing the usage of specific identifiers, Warren favored emotional reference, personal example, display of solution and practical economic issues. Biden favored assertive and direct speech, pertinacity, and speech in first person, singular.

 

When comparing Castro, the lowest polling male candidate, to Biden, we found that his main masculine identifiers consisted of action demand, direct speech, display solution, and speech in first person singular. Similarly, Biden’s consisted of activity, direct speech, and action demand. When examining their feminine identifiers, Castro primarily used concrete examples, personal examples, and emotional reference, whereas Biden used hesitant speech, passive speech, and questions.

Klobuchar, the lowest polling female, primarily used accusatory speech, rationality, and display solution as her masculine identifiers, while Warren used display solution, activity, and practical economic issues. Both used emotional reference and personal examples as their primary feminine identifiers.

Discussion and conclusions

With this being the fourth debate in the race for the Democratic nomination, the public is familiar with each candidate’s communication style by now. Interestingly, it can be seen from the following graph that Elizabeth Warren’s likability, or public appeal, was projected to dramatically increase, which it did: she began with 5% support, and following the October debate, it rose above 20%. 

In terms of feminine communication structures, Warren focused on emotional reference and personal examples over five times more often than Biden. It is clear that despite Biden’s use of identifiers, they were commonly used as a pause to gather his next thought, not as part of his argument. With feminine speech being associated with more passive and hesitant behavior, we suspect that using personal example and emotional reference are effective identifiers that don’t hinder perceived competence. However, it is also significant to note that because Warren utilized masculine identifiers such as significant opinion or action demand, they were used more as persuasive, support gathering tools.

Warren dominated over all other candidates, including Biden, with her constant usage of masculine identifiers, such as display solutions and references to practical economic issues. Biden dominated in more aggressive and assertive language, using direct speech, pertinacity and speech in first person singular. While Biden can use aggression to show strength and leadership, when a woman uses aggression, the public reaction is widely different. Aggression in female communication patterns is portrayed more often emotionally unstable outbursts or unlikeability, or even “shrilly.” 

Despite their drastic differences in polling success, Biden and Castro had extremely similar masculine identifiers: assertive speech and action demand. What seems to truly set these candidates apart is their use of feminine identifiers; Castro’s feminine identifiers functioned more emotionally and anecdotally (concrete examples, personal examples) and Biden’s were more passive (hesitant speech, passive speech). This implies that males are judged more on their usage of feminine speech than masculine speech. Also, there is a question of whether men are judged more for their feminine identifier use than women. Specifically, while Castro’s main feminine identifiers were identical to Warren’s, they proved to be much less effective for Castro than for Warren.

When comparing the top and bottom-rated female candidates, Klobuchar also employed the same feminine identifiers as Warren; however, their masculine identifiers differed. Warren exhibited a more calm demeanor, focusing on practical masculine identifiers (activity, practical economic solutions, display solution). Klobuchar’s reliance on accusatory and emotionally-charged masculine identifiers proved less effective in the public’s eyes.

What set the top and bottom candidates of each gender apart was their use of identifiers that were typical of the opposite gender. It makes sense that the public will more closely analyze communicative patterns that are atypical of a candidate’s gender when forming an opinion about them.

Will we ever have a female president? After the unexpected upset of Donald Trump over Hillary Clinton in the 2016 Election, strong opinions formed regarding the deciding factor that led to Trump’s victory. Many people claimed the result was due to sexism in the U.S., while others summed it up to Hillary’s lack of likeability.

What if these things are just extensions of how each candidate chose to present themselves? Hillary often used very aggressive masculine identifiers, as Trump did, but what really separated them was the perceptions the public had of both of them. For women, as shown in one of Trump’s tweets, aggression and anger is viewed as a sign of weakness, while aggression in male candidates is validated and expected.

This adds to a common theme in which the effectiveness of identifiers is very context specific, depending on the gender of the candidate, their intended audience, etc. These linguistic double standards add up, and although the message the candidates are trying to convey, much of their impact on the audience has to do with the way they present their messages, and their personal identity that impacts the potential voters.

READ THESE NEXT

More on the October 15, 2019 Debate:

         Want this article in powerpoint form? We’ve got you.

         Watch the Debate on CNN 

         NPR’s Fact Check 

         The Fourth Democratic Debate in 6 Charts

2020 Presidential Race from the Democratic Side:

          NY Times: Which Democrats Are Leading the 2020 Presidential Race? 

          NPR: Tracking the Issues in the 2020 Election 

         Statistics of Women in Elective Office

 

Referenced Journal Articles:

Grebelsky-Lichtman, T., & Bdolach, L. (2017). Talk like a man, walk like a woman: an advanced political communication framework for female politicians. The Journal of Legislative Studies, 23, 275–300. doi: https://doi.org/10.1080/13572334.2017.1358979

Grebelsky-Lichtman, T., & Katz, R. (2019). When a man debates a woman: Trump vs. Clinton in the first mixed gender presidential debates. Journal of Gender Studies, 28, 699–719. doi: https://doi.org/10.1080/09589236.2019.1566890

Suleiman, C., & O’Connell, D. C. (2008). Race and gender in current american politics: A discourse-analytic perspective. Journal of Psycholinguistic Research, 37(6), 373-389. doi:10.1007/s10936-008-9087-x

Mooney, A., & Evans, B. (Eds.). (2015). Language, Society and Power: An Introduction. (4th ed.).

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Exploring the Difference in Filler Word Frequency between Non-Native English Speakers and Native English Speakers

Clayton Puckett, Nicole Fonacier

Typically, when thinking about filler words, the immediate interpretation is that they’re a result of bad habits. Yet the purpose of filler words differs depending on the setting, and its frequency varies from speaker to speaker. In both informal and formal speech, filler words can be used to begin or continue streams of thought, assuage discomfort in silence, and allow time to process information. If filler words are used excessively, it can either negatively impact the credibility of the speaker or it can help string together words. This raises the question of why we use filler words, who is more likely to use them, and whether or not using them is indeed such a horrible thing to do. To answer these questions, we conducted a study focusing on the differences in filler word frequency between non-native and native English speakers. Participants were asked to answer a series of questions that would encourage the usage of verbal fillers through memory recollection and impromptu thinking; the conversations were recorded and the number of filler words used were then tallied as a proportion to the number of total words spoken. We hypothesized that non-native English speakers will use filler words less frequently in their responses due to a more conscious awareness of fluency. The results from our data supported this hypothesis: on average, native English speakers used about 4 more filler words for every 100 words spoken when compared to the non-native English speakers in the study. This suggests that the frequency of filler words could possibly be influenced by comfort levels in practicing a language and whether that language is the individual’s native language.

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Background Information

We began by defining filler words as any word or utterance that takes away from the main message of the speaker and paid particular attention to two categories: filled pauses and discourse markers. Examples of filled pauses include “like”, “um”, “uh”, “okay”, and “so” (Laserna, Seih, Pennebaker, 2014). These are what most people are familiar with, since filled pauses tend to be more common in everyday conversation and more tempting to use in stressful situations such as interviews or presentations. Discourse markers are words such as “I mean”, “you know”, and “like.” They differ in that there is meaning to its placement. The purpose of discourse markers is to connect and organize what is being spoken rather than serving as something to simply fill a gap in speech. If your friend invites you to hang out on the week you have finals to which you respond “you know, that does not sound like a bad idea since I have been studying so hard and am feeling ready”, that initial “you know” is the discourse marker. It was intentionally placed as a sign of agreement. Further research suggests different causes for verbal interpolations where the individual utilizes filler words as a means to shape identity (Duvall, Robbins, Graham, & Divett, 2014). This happens when fluency in a language is being used as a means to fit into a culture. People seeking to achieve this are more inclined to eliminate filler words from their speech to better identify with the more dominant speech community. Other research perceives filled pauses as cues for the creation of more complex ideas (Watanabe, Hirose, Den, & Minematsu, 2008). By assessing and comparing the frequency of filled pauses used by native and non-native English speakers, we can begin to draw conclusions regarding the usage, purpose and likely user of the filler words within verbal speech.

Methods

Data was collected from 10 current UCLA students: 5 native English speakers and 5 non-native English speakers. All participants were found in UCLA’s residential buildings. With the participant’s consent, each conversation was recorded and later used to tally the filler words as well as the total word count. A total of eight to nine questions were asked to the participant (see Figure 1). 

Figure 1: Questions asked to the Participants

To ease the participants into the study and create a comfortable environment, warm-up questions asking general information preceded the actual assessment questions of the survey. We hypothesized that filler words will be used less frequently among the non-native English speakers given that their basis of learning and the experience they may have with the English language is likely to have originated from a more formal setting. To elaborate, native English speakers do not have to fear about their fluency and are therefore not as aware of their filler word usage. The tallied data as rations was then translated to percentages in order to better compare the usage of filler words between the two groups.

Results

It’s important to note once again that the frequency of these filler words was not recorded as a raw qualitative count, rather as a ratio indexing the usage of filler words within the user’s speak. This is a vital part of this data recording process as it levels the playing field and virtually eliminates the possibility of large ambiguities between shy and talkative participants for example. Without this adjustment, the results would be largely skewed as some participants would naturally give longer answers than others, therefore further increasing the likelihood of using filler words within their responses. After the results had been calculated, our hypothesis proved to be correct, although not by a massive margin. The percentages of filler words for the native English speakers were as follows: 15%, 14%, 15%, 6.9%, 5.8%. The mean is therefore 11.34% (see Figure 2).

Figure 2: Frequency of Filler Words – Native English Speakers

Alternatively, the percentages of filler words for the non-native English speakers were as follows: 14%, 5.6%, 3.2%, 12%, 3.8%. The mean is therefore 7.72% (see Figure 3). The difference between these two averages is close to 4% which is a statistic previously referred to stating that on average for every 100 words spoken, native English speakers used about 4 more filler words in comparison to non-native English speakers.

Figure 3: Frequency of Filler Words – Non-Native English Speakers

 

Discussion

There are a variety of factors that could be improved throughout this experiment. Although the research question is strong, the lack of time and resources have limited us in the ability to carry out extensive research. It has been fascinating to see the results of this experiment coincide with our hypothesis, but given such a small sample size, the results could easily result in an opposite manner if we were to repeat this experiment. We still stand by our hypothesis, but to truly strive for conclusive data, we would have to enlarge our sample size and take into account a number of other factors. There are a number of factors that can additionally skew data that would either prove too hard to control or would need to be drowned in a large number of participants. These factors include influential features such as the participants educational history learning the English language as well as the participants receptiveness to language learning itself. To further articulate, the participants educational history learning the English language would include not only include the number of years that s/he has been learning it, but also the environment in which it was learning or taught in, the number of years being immersed in an English speaking society, and the frequency of English social interaction that the participant experiences. Alternatively, the participants receptiveness to language learning as a process may be a factor of how many languages they speak and how capable they are at adapting to new environments and their ability to pick up new languages.

Conclusion

The design of this project proved worthy of our efforts, and as we finalize our findings and reflect on the work we have conducted, we are able to critique our methods. If this experiment were to operate on a large scale, it could benefit greatly from a large sample size. With a reconfiguration of data recording methods to accommodate for the masses of participants, this experiment would prove to be conclusive as outliers are adjusted for and the results transition towards statistical relevance.

References

Duvall, E., Robbins, A., Graham, T., & Divett, S. (2014). Exploring filler words and their impact. Schwa. Language & Linguistics, 11, 35-49.

Laserna, C. M., Seih, Y., & Pennebaker, J. W. (2014). Um . . . who like says you know: Filler word use as a function of age, gender, and personality. Journal of Language and Social Psychology, 33(3), 328-338. doi:10.1177/0261927X14526993

Watanabe, M., Hirose, K., Den, Y., & Minematsu, N. (2008). Filled pauses as cues to the complexity of upcoming phrases for native and non-native listeners. Speech communication, 50(2), 81-94.

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Feminine Stereotypes: a Closer Look at The Princess and the Frog

Tasha Bierling, Sophia Maxson, Angela Ramirez, and Daniel Walsh

The Princess and the Frog, the diversity jewel in Disney’s crown, might not be as progressive as you’d think. Pink frilly dresses, big blonde hair, bows and sparkles, and an over-the-top, ditzy personality–it’s a stereotype we’ve all seen before in movies and tv. The creators of The Princess and the Frog took this well-known “dumb blonde” stereotype to another level with the character Charlotte La Bouff, and in doing so, perpetuated a stereotype to their viewers, many of whom tend to be very young.

It’s clear from her appearance that the New Orleans princess enjoys the feminine things in life. Charlotte visibly conforms to many misogynist stereotypes in both her appearance and her viewpoint. However, the focus of our research is to investigate whether her over-the-top feminine portrayal carries through in her speech as well. We have identified several linguistic features through other research that sound stereotypically feminine: uptalk, repetition, interjections, and rapid speech.

If Disney has employed these markers in the stereotypical portrayal of a female character, then they have presented a platform for impressionable youth to internalize these unsaid judgements. We are curious as to whether these aspects are more common in Charlotte’s speech than in that of the other main characters, Tiana and Naveen, whose presentations are less traditionally feminine.

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Intro

In Disney’s The Princess and the Frog, the ditzy side character Charlotte is depicted as an overemphasized representation of femininity.

She is the beautiful, blonde princess, and her character carries all its demeaning perceptions: being unintelligent, emotional, spoiled, superficial, and socially incompetent. Her personality and appearance often exaggerate these characteristics–she has a high-pitched voice, often wears puffy pink dresses, and her main goal in life seems to revolve around “finding her prince.” The way she speaks also reflects this feminine stereotype.

Comparing how often Charlotte uses these features to that of the other characters could reveal how the film uses language to stereotype Charlotte as superficial and stupid. For instance, by contrasting Charlotte with Tiana, we see that Tiana’s personality and appearance are much less stereotypically feminine.

Tiana is portrayed as responsible, practical, intelligent, and grounded, opposing Charlotte’s over-the-top personality. This is important because society often stereotypes individuals similar to Charlotte, either by making them seem dumb or criticizing this representation of women. Furthermore, studying the portrayal of these stereotypes in Disney movies is especially important, since Disney’s audience is young and impressionable.

We theorized that specific aspects of Charlotte’s linguistic performance emphasize the stereotypes that go along with her character: to the audience, she is just an airhead. We will explain why it was so easy for Disney to use these aspects to box Charlotte in under “Background.”

Our goal is to analyze how specific aspects of her speech help her sound more stereotypically feminine, that is, dumb, emotional, and socially unaware. To do so, we will focus on her use of uptalk, rapid speech, repetition, and interjections. We will compare how often she uses these linguistic aspects with two other characters: Prince Naveen, a male, and Tiana, a female who displays more masculine characteristics, such as being hardworking, practical, and independent.

We will focus our study on Charlotte because she is a side character included for comedic purposes, and therefore the stereotype is exaggerated,  as well as to contrast Tiana’s character. As a result, we expect these stereotypes to be plentiful and more noticeable in Charlotte’s language than in that of the other characters.

Background

Identity

Charlotte plays a rich, white princess in 1920’s Louisiana. She is an upper-class woman who displays acts of significant extravagance, lack of awareness, egotism, and shallowness, which are representative of a typical wealthy woman of this time. Her exorbitant wealth acts to demean her in a story about the American Dream, and her indoctrination in 1920’s gender roles helps categorize her as shallow.

If her appearance, worldview, and speech patterns weren’t enough to define her as a feminine stereotype, you only have to look at what she actually talks about: every time we see her, Charlotte is obsessing about a man, a prince. Disney defines her as “girly” by giving her dreams of a little girl: to marry a prince and become a princess.

Target population

We will be analyzing the linguistic patterns of Charlotte, Tiana, and Prince Naveen, and how they might factor into the overall portrayal of feminine expression in the Disney film.

Charlotte’s depiction as unintelligent suggests that women who hold similar characteristics are unintelligent as well.

A push for the audience to draw unfavorable conclusions towards individuals who hold the same linguistic and characteristic patterns as Charlotte causes prejudice. Disney designates Charlotte as a stereotype as a way to further emphasize the fact that feminine women like her only serve a role as side characters.       

Linguistic aspect

The linguistic aspects we will be investigating are uptalk, rapid speech, repetition, and interjections.

Uptalk refers to when your vocal tone rises at the end of a phrase, as it would in a question. It is often seen as expressing inferiority, lack of confidence, etc. It can be seen across cultures or dialects and usually occurs in a group that society puts into an inferior position (Guy, 1986). Uptalk has been recorded in teenagers and the working class, but it is the most identifiable as being feminine and is generally understood as a female trait.

Rapid speech refers to Charlotte’s tendency to speak faster than normal, or at least more quickly than Prince Naveen and Tiana. It has been observed in numerous scientific studies that men believe that women talk more frequently and faster than they actually do. Studies such as Cutler (1990) show that women are often perceived as talking faster and more often than they really do in everyday conversation.

Also, repetition refers to Charlotte’s tendency to state the same words or phrases in quick or immediate succession. Repetition is often used for emphasis or to imply desperation or urgency. Thus, Charlotte’s use of repetition could highlight her portrayal as being dramatic.

Finally, interjections are words that are thrown into sentences that seem to be unnecessary or lack meaning, such as “Oh!” or “Eek!”. They are often an exclamation and are usually related to an emotional reaction. Since women are often stereotyped as being overly emotional, Charlotte’s frequent use of interjections further characterizes her this way.

Experiment

Methods

In this experiment, we quantified the linguistic aspects we found to be related to feminine stereotypes.

    1. We counted the number of times each character uses interjections.
    2. We counted the number of times each character repeated words or phrases to measure repetition.
    3. We counted the amount of words spoken per second by each character to measure rapid speech.
    4. We counted the average number of times each character used uptalk in a given situation.

We contrasted each variable’s occurrence in Charlotte’s speech with Tiana and Naveen’s, whose language patterns tended to remain relatively consistent throughout the dialogue.

Data

As illustrated in the first graph, Charlotte uses significantly more repetition and interjections on average than both Tiana and Naveen. On average, Charlotte used 1.4 repeated phrases and 4.3 interjections per scene, while Tiana used 0.8 repeated phrases and interjections per scene, and Naveen used the least of both, with no repeated phrases and an average of 0.67 interjections per scene.

 

As illustrated in the second graph, Charlotte has a higher rate of words per second used in comparison to the rates depicted by Naveeen and Tiana. As Charlotte speaks at a rate of 2.20 words per second, while Tiana and Naveen speak at rates of 1.80 and 2.10 words per second. In other words, proving that there is a faster rate of speech in Charlotte’s speech patterns.

 

As illustrated in the third graph, nearly 60 percent of Charlotte’s lines were examples of uptalk. This percentage was almost double that of both Tiana and Naveen’s total percent of uptalk lines, which were both around 30 percent. This data proves that Charlotte uses uptalk much more than the other characters, likely as a result of her overly feminine portrayal.

Conclusions

Many baseless standards and stereotypes are placed onto women’s speech. We see a prime example in the character Charlotte, whose personality is drawn completely from the stereotypes of groups she is a member of. We see this especially in her frequent use of uptalk, repetition, rapid speech, and interjections compared to the other characters. For these reasons, it is conclusive that Charlotte’s portrayal is indicative of Disney’s corporate misogyny and exploitation of linguistic stereotypes.

 

References

Cutler, A., & Scott, D. R. (1990). Speaker sex and perceived apportionment of talk. University of Sussex.

Guy, G., Horvath, B., Vonwiller, J., Daisley, E., & Rogers, I. (1986). An Intonational Change in Progress in Australian English. Cambridge University Press, 15(1), 23–51.

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Freshmen versus Transfer Students: Who’s More Sociable?

Zilana Aikebaer, Monica Campbell, Jenny Kim and Roselinda Kuoch

The study was performed in hopes to explore the difference in the function and purpose of the usage of phatic talk, especially in the aspect of socialization during interaction amongst two large new streams of populations at UCLA: Transfer and Freshmen students. The sample population was randomly selected at the study lounges where the two groups are most concentrated and interviewed students from each group with the same set of questions that allows enough flexibility for the students to express their feelings, opinions, or to interact with the interviewer as in day-to-day conversation. The interview was recorded to further perform statistical analysis on turn-taking, time taken with each question, and of other stylistic aspects of the interviewee’s talk. Results show significant differences and there can be many potential explanations and causations for the differences. The analytical results could reflect the difference in the sociability of the two groups and the likelihood for students of one group potentially use phatic talk as a tool to build their social networks while the other group demonstrates less tendency for such behavior. Although there is no clear evidence for such correlation, possible connections between phatic talk and sociability for the two groups are revealed in the results of our study.

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Introduction

It is said that college is the time where you will meet your lifelong friends. When you socialize in college, you open a door that allows you to develop relationships that can support you in academic and emotional ways. A very common type of talk used to begin the start of any relationship is a linguistic term called phatic talk. 

Phatic talk, or simply in layman’s term, small talk, is a form of communication that has a social function rather than an informative function. In other words, the phatic talk focuses on establishing a mood of sociability. Instead of centering the conversation on heavy and controversial topics, phatic talk considers lighter and more enjoyable topics such as the weather, sports, or common interests. 

The demographics in college students are categorized by what year in college they are in, first-year, second-year, and so on. This study particularly focuses on the usage of phatic talk between first-years and transfer students. Comparing the differences in communication between these two subject groups is since they come from different educational backgrounds in which transfers have 2 or more years of the college experience and first-year students don’t have any college experience at all. The differences in experience and thus differences in maturity can result in different levels of phatic talk used amongst the two groups.

Background Info

The identity category we will be focused on students at UCLA, first-year students and transfer students will be the focal point of the research. The purpose of this study is to show that short and light communicational exchanges that we may often think don’t serve a purpose, actually do carry social importance. By analyzing the language aspect studied in the phatic talk, or small talk, through first-year students and transfer students, we can look at how phatic communication can serve to maintain a social presence. This will be recorded specifically by comparing quantitative observations of first-year students and transfer students such as the number of turn-taking, pauses, speaking rate, and length of sentences and conversations measured through time.

Methods

In order to collect data from our two chosen demographics, we had two of our teammates look for participants in lounges of dormitories on the UCLA campus. The majority of transfer students were found in Rieber and the majority of first-year participants were from Dykstra. Ten subjects from each group for a total of twenty students altogether were interviewed. 

To gather samples, we voice recorded the small talk interviews with the consent of all those who participated. For each set of conducted interviews, five preselected questions were asked to establish more uniformity in our data. We aimed to choose questions that were more open-ended to give participants personal agency in how much or how little they spoke. 

Questions Asked

    1. What made you choose UCLA?
    2.  What’s your major?
    3. What do you plan to do with it?
    4. How’s the transition into college been for you?
    5. Can you give me directions to Cafe 1919?

Tip: How To Skip The Small Talk and Connect With Anyone

The two data collectors were careful in trying to keep a consistent demeanor across each case of interviewing in order to keep more consistency in the interpersonal task at hand. 

After collecting all the audio samples, each team member listened to and analyzed the samples for specific characteristics: these included the amount of words, filler words, turn-taking, and amount of time needed to answer the question. Each characteristic was recorded quantitatively by how frequently it showed up in each audio sample or by their respective amounts (like for word count or time needed to answer a question). The amounts for each speech category were recorded and averages were calculated for each question asked between the two demographic groups. We employed statistical tests to analyze our results and used a two-tailed T-test to test for a significant difference between the two groups. 

Results

With the raw data collected, we calculated the averages for first years and transfers across each question within each category. 

From our statistical analysis, we found there to be significant differences in almost all the questions asked between the two groups across the various characteristics analyzed. Significant difference tests were done across each question for each linguistic trait. For the example of fillers (words such as uh, um, er, hm) the p-values that were calculated for each question were below the 5% significance level. This pointed to a significant difference in the number of fillers used by freshmen and transfer students. So overall, we found that the number of conversational behaviors was different across the two groups. 

As seen by our graphs across the different questions and categories, it appears that quite drastic differences exist between freshmen and transfer students. However, what appears to be a difference is not always enough to conclude on, therefore we use our two-tailed t-test to verify that the differences noted were significant.  

Numbers of Turn-Taking

 

Time Taken for Two groups to answer 5 questions

 

Average Response Count
Filler Words Count Between Two Groups

 

Pauses Count

 

Average Response Count

 

Discussion and Conclusions

Due to the statistical tests used, we as a team could only state that differences exist in the quantity of our chosen conversational characteristics between freshmen and transfer students here at UCLA. As the saying goes, correlation does not infer causation, we could not pinpoint reasons as to why these differences were found between the two student groups. However, we looked into possible hypotheses that could explain the results we found. Some possible explanations include differences in maturity/ difference in life stage, as the statistical results show a significant difference between the two groups when asked a task-oriented question. Which could be due to the older group has had more experiences with similar situations, and also can gather their thoughts to provide a concise answer. Based on the interviewers’ experience with the two groups of students, the difference in their maturity was revealed during the interaction. Most Freshmen were not clear on their career goals and what they ultimately will do with their majors, as career and job are not a major consideration for their age group. Transfers, on the other hand, were specific with their career goals and are in majors that align with their future goals as they will be going into working fields soon after they graduate. Other than maturity/difference in life stage, sociability could also contribute to the results of our study. College is a relatively new environment for Freshmen who just completed high school while Transfer students have had experience with the college for at least two years, which could lead to great curiosity and the desire for Freshmen to explore such a new environment and to meet new people. Also, the high school environment is very different than community college in the students’ sociability within the schools. Students at community colleges can range from the age of 18-45, with such an age difference, the students at community college are less likely to socialize at school and are adapted to the independent way of studying without having many affiliations with school or other students. On the contrary, high school is concentrated with students within the same age group thus makes it more feasible for students to build connections and thus socialize within the school setting. There are other possible reasons for their sociability and can vary on individual levels; however, such a large statistical difference between the two groups indicate there is an undeniable difference in the way the two groups communicate with others and perform verbal tasks regardless of the underlying contributing factors that can potentially account for the differences.     

References

Beukeboom, C. J., Tanis, M., & Vermeulen, I. E. (2013). The language of extraversion: Extraverted people talk more abstractly, introverts are more concrete. Journal of Language and Social Psychology, 32(2), 191-201. Retrieved from https://search.proquest.com/docview/1449084436?accountid=14512

Gravano, A. (2009). Turn-Taking and Affirmative Cue Words in Task-Oriented Dialogue. N.p.: Columbia University. Retrieved from http://www.cs.columbia.edu/speech/ThesisFiles/agustin_gravano.pdf

Hudak, P. L., & Maynard, D. W. (2013). An interactional approach to conceptualising small talk in medical interactions. N.p.: pubmed.Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/21545445

Valencia, D. (2009): ‘No Offense guys: Some ambiguous functions of small talk and politeness in workplace discourse’, in LCOM Papers 1, The University of Hong Kong, 17- 32. Retrieved from https://english.hku.hk/LCOM%20paper/LCOM%20papers%20new,%20rev/2009%20vol1/2_Diego_Valencia.pdf

Wardle, M., Cederbaum, K., & Wit, H. d. (2012). Quantifying talk: developing reliable measures of verbal productivity.  N.p.: pubmed. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049967/

Pappano, L. “Lost, Alone and Not a Freshman.” The New York Times, 23 Apr. 2006. NYTimes.com, https://www.nytimes.com/2006/04/23/education/edlife/SOCIAL.html

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Queer Speech: Real or Not?

Samantha Dao, Audrey Harrison, Sonia Hauser, Elizabeth Rutkevich

Have you ever thought, “Wow. That person sounds so gay.”? Maybe it’s because of the way the person speaks –his/her pitch is higher/lower than a straight person’s, the pitch at the end of his/her sentence is higher than the rest, or they have a melodious/creaky voice. But is there actually a difference between the way queer and straight people speak or is it just a stereotype? Is language used as an identifier of sexuality?

We were interested in these questions, but specifically if there’s a difference between queer and straight women’s speech. Therefore, we did an experiment, in which we asked 20 women, 10 straight and 10 queer, to tell us about a time in which they almost died and analyzed their speech to determine if a difference exists.

Our hypothesis was that there would be no significant differences in the phonetics, or in the way sound in speech is produced, except that queer women would have a bit more roughness or creakiness in some parts of their casual speech. We also believed that queer women would speak at a lower pitch than straight women. However, after getting the results, we found that our hypothesis wasn’t entirely correct. Can you guess what part of our hypothesis was proven wrong?

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Language is so powerful and can let people know a lot about ourselves. Beyond what you literally say, the way you speak can cause people to form opinions about you, or what you are implying can be interpreted differently by different people. Stereotypes even in language are constantly shaping the way people see us (Waksler 2001), so how can we use language to align ourselves with our identities instead of projected ones other people place on us?

We perform gender, sexuality, and identity constantly, so how is language used to perform these things? We did a little experiment to see if there is a difference in the ways that queer and straight women cultivate their own identities through language. We concocted a study involving 20 UCLA undergraduate women from ages 18-24, half being straight and the other half being queer. We asked participants to tell us about a time they almost died. This could be funny and dramatized or serious, whatever they wanted, in hopes to get them to speak casually, how they would outside the space of an interview.

We compared how many times each group used vocal fry, the creakiness found in speech, typically in vowels (for example in this video clip from 0:00-0:31), and upspeak, the rising in voice at the end of sentences (as demonstrated in this video from 0:00-1:03), and rated overall pitch, the highness or lowness of voice, from 1-5 (you can learn about high and low pitch in this video). We were curious about pitch because some studies say it differs between the two groups (Barron-Lutzross 2015) while others say there are no significant differences (Waksler 2001). Vocal fry and upspeak are stereotypical of women’s speech as a whole.

Before doing the actual experiment, we thought queer and straight women would have similar usage of upspeak because they belong to the same gendered social category, so parts of their identity formations and expressions would be similar (Valocchi 2005). However, we thought queer women would use more vocal fry and have a deeper overall tone than straight women to differentiate themselves and construct distinct identities from straight women.

Background Information

There is a cultural awareness and focus on the way gay men speak. The stereotypically effeminate “gay voice” is characteristic of a higher pitch, slight lisp, and hyper-enunciation. The documentary Do I Sound Gay? questions where the “gay voice” comes from and some possible explanations of this phenomena (Thorpe 2014). The documentary concludes that gay men’s voices are a complex mix of the presence of female role models, group identification, and the persistent association with the aesthete stereotype (similar to a dandy, aesthetes are a Wildean, intellectual, effeminate man). Here is a clip from The New York Times of Thorpe, along with a linguist featured in his documentary, describing the specifically male “gay voice.”

What, then, does a lesbian or queer woman’s voice sound like? Are these categories distinct enough to draw phonetic conclusions? In what ways are gender and sexuality intertwined in the way we speak, complicating intra-gender distinctions? To answer philosophical questions about gender we looked to Judith Butler’s seminal Gender Trouble. Butler proposes the idea of “performativity” in relation to gender–all gender is a performance and reliant on external interaction. Others pick up gender cues from the ways we dress, speak, and move. So how do queer and straight women express their identities and gender differently? Or is the category of woman unifying enough to surpass sexuality?

Methods

In order to find out if there was a difference in speech between queer and straight women, 10 UCLA undergraduate women from ages 18-24 in each category were asked to tell about a time in which they almost died. This question was to make sure that they would speak their mind without worrying who they were talking to since the purpose of the experiment was to compare casual talk. Participants were friends and acquaintances and were asked to be recorded before the interview took place. The recordings were analyzed for upspeak, vocal fry, and pitch. Since each interview differed in the length of time, vocal fry and upspeak were analyzed by times used per minute. Pitch was determined on a scale of 1 to 5 with 1 being the lowest and 5 being the highest, and it was evaluated by the interviewer.

Results

There was no significant difference in the average amount of upspeak used per minute between the two groups with 4.56 and 4.6 upspeak used per minute in queer and straight women’s speech respectively. (Fig. 1). However, as seen in figure 1, queer women used slightly more vocal fry (3.5 usage per minute) than straight women (2.82 usage per minute). There was no significant difference between the pitch of both groups as the pitch was measured to be 2.95 and 3.05 for queer and heterosexual women, respectively (Fig. 2).

Figure 1. Analysis of average vocal fry and upspeak used per minute shown in blue and red bars respectively. The data was analyzed from speech of 10 queer and 10 straight women.
Figure 2. The graph shows the average pitch from 10 queer and 10 straight women. Pitch was measured from a scale of 1 to 5, with 1 being the lowest and 5 being the highest.

Discussion and conclusions

The results of the study revealed a ubiquity of phonetic linguistic performance among women regardless of their self-identified sexualities. The lack of significant differences in pitch and upspeak occurrence, and the predicted, slight variation in vocal fry occurrence points to the similarities in the phonetic patterns of all the women aged 18-24, in our immediate UCLA-range community that participated in the study. This predictable finding about the range of women’s speech within immediate speech communities and social networks carries implications that gender categories and socialization are stronger determinants of speech than sexuality is.

There are possible errors associated with our methods. Participants could still have modified their speech since it was an interview. Friends were interviewed which could have affected the speech samples, but keep in mind that the experiment was comparing casual speak, so in fact this could have been beneficial. The sample size was relatively small and involved a specific group, so the results may not be representative to all queer and heterosexual women. The evaluation of pitch was subjective, and there was possible bias as prior research was done. Lastly, recordings might not be true to the actual voice because there’s error in the recording equipment. The errors were minimized as best as possible.

For future studies involving the role of sexuality in women’s linguistic performance, non-phonetic features, such as the frequency of tag questions and filler words, could be tested for differences between queer and heterosexual women. It could also be beneficial to perform a preliminary study evaluating whether there are pre-existing perceived differences between and stereotypes about the speech of queer versus straight women.

Acknowledgements

We would like to thank the volunteers that participated in the study and our teaching assistant Madeleine Booth and Professor Daria Bahtina for guiding us through our experiment. 

References

Barron-Lutzross, A. (2015). “The Production and Perception of a Lesbian Speech Style.” UC Berkeley PhonLab Annual Report, 11. Retrieved from https://escholarship.org/uc/item/7f6332bh

Butler, J. (2006). “Gender Trouble.” Routledge.

Howard, G. and Thorpe, D. (Producers) and Thorpe, D. (Director). (2014). “Do I Sound Gay?” United States: Sundance Selects.

Valocchi, S. (2005). “Not Yet Queer Enough: The Lessons of Queer Theory for the Sociology of Gender and Sexuality.” GENDER & SOCIETY, 19(6), 750-770, DOI: 10.1177/0891243205280294.

Waksler, R. (2001). “Pitch range and women’s sexual orientation.” Word, 52(1), 69-77, DOI: 10.1080/00437956.2001.11432508

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How Do Different Genders Speak in The Office?

Chelsea Gleason, Priscilla De Luna, Kat Dang, Briana Tena

Do males and females speak differently in a professional setting? If so, does this cause any implications? In this study, we look at the different language patterns in the popular TV show, The Office, a comedy show following the lives of workers at a desk job.

The aim of our research was to see if differences in speech establish a power hierarchy between genders in the workplace. This research was motivated by the growing number of women in higher skilled professions compared to previous decades. Thus, we developed a coding system to study the frequency of rise in pitch and use of interruptions among the characters in this TV show. We then analyzed the data and found that the speech patterns did contribute to a power hierarchy, however it was represented through men establishing dominance over other men, rather than men establishing dominance over women.

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In recent decades, more women are securing higher skilled positions in the workforce compared to previous time periods in which professional work was mostly male dominated (Ziman, 2013, p. 1). There is little to no research studying the new relationships between genders in this setting, thus we conducted a study focusing on one of the fundamental aspects of interaction: language.

We completed a linguistic analysis of the American version of The Office, meaning we studied the differences in language use between individuals. The Office served as an excellent source for our study as the show has over 57 million viewers (Stern, 2018, col. 4), so the show should represent what Americans view as common speech.

To complete this study, we took a sociolinguistic approach, which relates differences in language to social factors, most notably in our case: gender. We collected our data by analyzing phonetics, which is the study of speech sounds, and via conversational analysis, which is a broad linguistic field that studies natural conversations in everyday situations. To make our data more quantifiable, we defined phonetics as the use of upspeak, which is the rising pitch at the end of a statement, or more commonly known as the “Valley Girl Accent”, and defined conversational analysis as any interruptions made between characters.

We chose upspeak and interruption because social scientists have previously found that these factors aid in creating differences in power among genders and ultimately form a gender hierarchy (Linneman, 2013, p. 83), (Schegloff, 2001, p. 289). However, there is no research indicating if this is true in a professional setting where individuals are expected to act and speak in a more polite manner.

This led us to hypothesize that the use of upspeak and interruptions in the workplace places males in a superior power position compared to females.

First, we had to research if there was any data that indicated gender inequality in the workplace, and what steps, if any, are being made to address the issue.

As of 2019, women get paid 80 cents on the dollar, compared to men, and only 79 women are promoted to a higher position compared to every 100 men (Schooley, 2019). Women in the workplace experience microaggressions verbally and behaviorally during the communications at work. These actions are both intentional and unintentional, ranging from, but are not limited to “hostile, derogatory, or negative prejudicial slights and insults.” (Schooley, 2019). 

This idea is illustrated in Nidhi Dua’s Tedx Talk, “Gender Equality at Workplace.” Dua discusses the problem of obtaining gender equality, where the problem stems from, and possible solutions. Gender equality is a series of complex issues with no single, direct cause. It is acknowledged that no single person or group can solve the problem, but they can each do their part.

In order to start positive changes in the workplace, Dua believes that “engaging with men and women workers, spreading awareness, and addressing issues that act as impediments to gender equality” were important factors. The training at the factorial level consisted of : peer to peer learning, audio-visual presentations, focus-group discussions, role plays that highlight gender stereotypes, and developing grievance handling mechanisms. Dua highlighted the development of grievance handling mechanisms because women (especially) are put through tremendous amounts of stress and pressure both in and out of the workplace. Women also tend to feel uncomfortable with speaking up and reporting their incidents and concerns.

We applied this idea and studied the grievance handling mechanisms through upspeak. “Upspeak” (or “uptalk”) refers to one’s pitch rising towards the end of a statement. This speech pattern is often compared between men and women. Upspeak’s existence can be dated back to as early as the 17th century (Gorman, 1993) and its usage is common among women. This linguistic phenomenon has the connotation of  being a “Valley Girl” accent, although it has become more common in both men and women since its “discovery” (Rutter, 2013). 

Despite being practiced by both men and women, what upspeak determines for each gender in society varies greatly. In a study that was conducted on the show Jeopardy! By Virginia Rutter, PhD., she found that men use upspeak when they are uncertain or unconfident with their responses to a statement or question. It was also discovered that men would use upspeak more with women when they are correcting a woman compared to a fellow man. Her study indicated that men used upspeak 22% of the time when correcting another man, but was used 53% of the time with women. It is speculated that men do this as a form of chivalry towards women.

We wanted to see if these findings correlated with our study. So, we began analysis on the TV show, The Office. The Office, contains 9 seasons with a total of 201 episodes. Since there was not much time to gather all of the data, only 20 episodes were chosen to be analyzed. This way, each group member was responsible for 5 episodes. A random number generator, set to 1-201, was used to select which episodes were used. The episodes were randomly selected to make sure that the data collected was a good representation of the entire show. To analyze each episode, a system of coding was created that focused on how each gender used uptalk and interruptions (Reed, pgs. 10-11). The code used is shown below:

When a character used upspeak or interrupted someone, the exact words they used in the conversation were recorded. To show when upspeak was used the words were either highlighted yellow or made bold and a dash line was used to signify an interruption. For example, the scene from the image below is from the episode “Frame Toby” in season 5, episode 9 of The Office. In this scene, Michael found out that Toby came back to work at Dunder Mifflin. When Michael saw Toby he immediately interrupted Toby by yelling, “No”. This interruption was classified using the number 10 from the code, since Michael interrupted a male colleague, and recorded as shown below. There is also an example below about how upspeak would be recorded. In the second example, 2 and 6 coded the scene because Michael used upspeak when talking to Dwight.

The Office- Season 5, Episode 9 “Frame Toby”

(19:52-19:48), 10

Toby: “Hi Michael-”

Michael: “Noooo god! Nooo god! Please no. Nooo.”

(13:04-12:57), 2 & 6

Michael: “You’re the bait for Toby?”

Dwight: “Mmmhm.”

Michael: “Uhh for one thing he’s not gay and if somebody were to be bait, it would be Jim or Ryan or me.”

From the data, we were able to construct two different graphs to display the visual variations found when deciphering the different phonetic codes used within The Office. When analyzing coded upspeak, we found that the ratio of upspeak used in a professional setting greatly differs between men and women.

Data shows that men tend to use upspeak at least twice the given amount a woman does within the workplace. Upspeak towards the opposite sex differed as well.  Women were more likely to use upspeak towards men in ratio to the amount of times men used upspeak towards women. This is an effect of  lack of confidence within the workplace, thus women felt the need to critique men less often to avoid coming across as too strong. Men however, were likely to use upspeak towards women as a form of peer correction or chivalry, not as a form of dominance, hence they used upspeak towards the opposite sex less often.

Data also implies that males are more likely to use upspeak towards men as opposed to the usage of it towards women. The stark difference has led us to believe that in a work setting, men often feel the need to assert their dominance and establish a visible hierarchy amongst their male coworkers than towards women.

In coded interruptions, there was a small difference between data when analyzing codes 7 and 8. Females were more likely to be interrupted by males than males were to be interrupted by females. However, in codes 9 and 10, our data displayed a stark contrast of a <1: 5. Essentially, this established the notion that males are more likely to interrupt a male coworker in the workplace than females were to interrupt a female coworker.      

In the original hypothesis, we expected men to use more upspeak and interruptions towards women than towards men. We hypothesized that this would occur in the form of chivalry or as a form of peer correction. Data results, however, differed greatly from our initial theory.

After analyzing the codes through a random draw of various scenes, we can infer that men used more upspeak than women within the workplace altogether. Males, however, were less likely to use upspeak towards the opposite sex than women. This correlates to the notion that women are more likely to use upspeak when speaking to men because they felt the need to be apologetic of their success.

Further analysis concluded that males were more likely to interrupt another male counterpart than a female counterpart. With this data we were able to see a clear sense of hierarchy and several dominant attributes within men in the workplace. As a result, men often establish more dominance over male counterparts through peer correction and interruptions than towards female coworkers.

These findings coincide with the gender distribution of characters within The Office. A larger male population within this workplace can be a correlative factor that encourages males to assert dominance over a competitive atmosphere with other men. Women, however, were less likely to interrupt the same sex or use more upspeak than men since The Office is not female dominated, therefore they were not encouraged to assert their dominance like males in this setting.

References

Gorman, J. (1993, August 15). ON LANGUAGE; Like, Uptalk? The New York Times Magazine. Retrieved from https://www.nytimes.com/1993/08/15/magazine/on-language-like-uptalk.html

Rutter , V. (2013, December 28). Men and Women Use Uptalk Differently: A Study of Jeopardy! – Sociological Images. Retrieved from https://thesocietypages.org/socimages/2013/12/28/men-and-women-use-uptalk-differently-a-study-of-jeopardy/.

Schegloff, E. A. (2001). Accounts of conduct in interaction: Interruption, overlap, and turn-taking. In J. H. Turner (Ed.), Handbook of Sociological Theory (pp. 287–321). https://doi.org/10.1007/0-387-36274-6_15

Schooley, S. (2019, May 20). The Workplace Gender Gap and How We Can Close It. Retrieved from https://www.businessnewsdaily.com/4178-gender-gap-workplace.html.

Stern, M. (2018, December 15). Is ‘The Office’ the most popular show on netflix? The Daily Beast. Retrieved from https://www.thedailybeast.com/is-the-office-the-most-popular-show-on-netflix

YouTube. (2019, February 26). Gender Equality at Workplace | Nidhi Dua | TEDxGurugramWomen. Retrieved from https://www.youtube.com/watch?v=qEtTGkICKtY&app=desktop.

Ziman, Rebecca L., “Women in the Workforce: An In-Depth Analysis of Gender Roles and Compensation Inequity in the Modern Workplace” (2013). Honors Theses and Capstones. 157.

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Media Depictions of African Americans in Incidents of White-on-Black Violence

Faith Ngo, Madyllen Kung, Melissa Aguirre, Sabrina Huang

Racial inequalities have been a fundamental aspect of the underlying fabric of the United States since its conception almost 250 years ago. From brutal incidents of racialized violence to educational disparities that have continually oppressed communities of color, inequities rooted in the throngs of racism have persisted and accumulated over time. An example of such racial inequities is violent incidents in which white police officers shoot and kill unarmed African American individuals. Proof that discriminatory biases still exist today, these events have become fuel for groundbreaking social movements that are centered on uplifting the voices of oppressed communities and challenging hegemonic ideologies. 

Over the last ten weeks, we have learned about the vital role language plays in constructing and maintaining identity. Through stereotypes and “otherizing,” which have amplified the perceived differences between social groups and intensified the already vast racial boundaries, language can codify and perpetuate discriminatory biases.

As we started our project, we asked ourselves, would articles dehumanize African Americans or would they place blame on the white police officer? Would race be a salient aspect? Would there be a notable difference in the styles of language across different social identities? Or would we find a difference between various news outlets?

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INTRODUCTION

Language is a powerful tool that can be used to construct our understanding of the world or perpetuate traditional beliefs. As tensions between African Americans and White Americans continue to grow, it is important to recognize the ways in which language can reaffirm discriminatory biases.

With this in mind, we decided to focus specifically on the linguistic elements news articles utilize to cover incidents of white-on-black violence. In addition to being widely accessible to the public, such articles play an important role in either reaffirming or challenging prejudicial stereotypes.

This led us to our research question: In situations of white-on-black violence, how do different news outlets utilize linguistic elements to depict and characterize African American individuals as archetypes of widely-held stereotypes?

BACKGROUND

Research has shown that the media routinely associates African Americans with criminality. News outlets disproportionately report on criminal incidents which involve African American suspects in comparison to white suspects, especially if the incident involves violence (Oliver, 2013). The overrepresentation of African Americans in incidents of crime creates a stark dichotomy between the portrayal of black and white Americans by news outlets. While violent crimes perpetrated by African Americans are widely reported on, violent incidents involving white suspects are largely ignored (Johnson and Dixon, 2008). In addition to the racial disparities apparent in coverage of crime, studies have shown that specific language is used to dehumanize African Americans regardless of their role as the perpetrator or suspect. The use of “micro-insults” in descriptions of African Americans can implicitly link them with social categories that are historically viewed as “inferior” to normative social groups (Smiley and Fakunle, 2015). On the other hand, the use of “micro-invalidations” can trivialize the experiences of black individuals (Smiley and Fakunle, 2015). Such language can have alarming effects in priming audience members towards internalizing negative stereotypes of black individuals and potentially acting upon those implicit biases (Oliver, 2013). The actions which result from biases produced and maintained by mainstream news outlets — “racial microaggressions” — form the foundation of discriminatory structures that continually relegate African Americans to the bottom of the social hierarchy (Kulaszewicz, 2015).

METHODOLOGY

Since the manner in which white-on-black violence is depicted largely depends on the political affiliation of the reporting news source, our methodology was designed to account for a range of varying political viewpoints. Each researcher selected two liberal sources, two conservative sources, and one moderate source based on the AllSides Top Online News Media Bias Ratings chart (Figure 1). These five articles of varying political affiliations were used to analyze the following individuals: Tamir Rice, Tanisha Anderson, Trayvon Martin, and Eric Gardner. We selected these individuals because they are figures who are representative of White-on-Black incidents of violence in the United States.

Figure 1: AllSides Top Online News Media Bias Ratings We used this chart to find articles that aligned with a political orientation. One article was selected from each column from the news outlets listed in this chart. Source: https://www.allsides.com/media-bias/media-bias-chart

After the articles were chosen, a Total Point System was employed to evaluate the salience of race in the article through explicit references of race. The point system was designed to ask one question: to what extent did the article make race a conspicuous and contributing factor in the white-on-black incident? The following are the six criteria of the system: 

It is important to note that an article that scored six out of six points does not necessarily indicate that it is more racially biased.

Since language also has an implicit function, the second part of our analysis involved a Guiding Question system to account for indirect references to race that could not be captured by the point system. The following are the seven criteria used in this system: 

The assessment of articles using the Guiding Question system provides insight into the discreet manner victims and assailants are framed. These questions illustrate how the language of articles can indirectly position individuals as a particular actor in larger racial narratives (this is often referred to as “interpellation”). 

RESULTS

Figure 2: Point totals between various news outlets across the four individuals This bar graph depicts the varying point totals of articles which cover the deaths of Tamir Rice, Trayvon Martin, Tanisha Anderson, and Eric Garner. The different colors depict the political alignment of the articles selected.

As Figure 2 shows, point totals varied across articles which covered the deaths of our sample of individuals. We found articles on Tanisha Anderson and Trayvon Martin to have disproportionately high point totals because of their existence at the intersection of multiple oppressed identities. While Anderson had a mental disability that was commonly referred to, Martin’s appearance at the time of his death was a salient component of several articles. 

Foregrounding in the lede

In our quantitative analysis of selected news articles, we focused on the journalist’s word choice throughout the article and how such words evoke a reaction from readers (Jakobson’s “conative function” of language). However, special attention was paid to the first sentence of the article, which is often referred to as the “lede”. This sentence encapsulates the who, what, where, why, and when of the situation or topic in question and helps to set the tone for the remainder of the article. Due to the position of the lede at the beginning of the article, information included here can be utilized to foreground certain elements. 

Figure 3: An example of foregrounding in the lede The ledes included in this figure are from two articles which covered the murder of Tamir Rice. Bolded and underlined words highlight the noticeable differences between each.

Across the four individuals we studied, we observed that there were noticeable differences in language use. Liberal news outlets typically included language which positioned the African American individual as the “victim”, while conservative news outlets utilized language which portrayed the police officer(s) and their actions as reasonable. Information that supported each agenda was included in the lede, while information that undermined such portrayals was either excluded or backgrounded. 

Differences in point totals between conservative and liberal news articles

Our research also found differences in average point totals between conservative and liberal news articles (Figure 4). Although these differences were not large, it appears that conservative articles have lower point totals and conservative articles have higher point totals. Meanwhile, moderate sources had point totals that fell between the scores of liberal and conservative news outlets. However, these average point totals fell closer to those of conservative sources. 

Figure 4: Average point totals of liberal, moderate, and conservative news outlets.

Differences in guiding questions

We also found stark differences in answers obtained by way of our guiding questions. Across the twenty articles we studied, conservative articles utilized a greater degree of language that reinforced common stereotypes associated with African Americans. Conservative sources often drew upon the individual’s criminal history or appearance (e.g. wearing a hoodie) as a subtle way of shaping the individual’s character. If the officer was mentioned, it was to justify his/her actions in some way. Conversely, liberal sources often focused on the motivations of the officer and their judgment errors in interpreting the situation. The results demonstrate that in general race was made more salient in conservative sources that liberal sources as an inherent contributing factor to the situation.

DISCUSSION AND CONCLUSIONS

Our results reveal that there is a stark and noticeable difference in the language use between conservative and liberal news outlets. While liberal publications use language to position African Americans as “victims”, conservative publications position them as the “assailant” or “instigator”. Such information draws attention to the detrimental role journalism plays in furthering and reinforcing stereotypes that support the criminality of African Americans. 

There were several limitations to our research, however. One noticeable limitation is the assumption that the political alignment of a news outlet directly corresponds with its article’s attitude towards race. There are numerous factors that may play a role in the way national publications depict race that we unfortunately did not account for in this project. Other limitations include differences in publication times (which impact how much information is available to journalists and, by extension, what particular elements are salient) and personal biases.

Regardless, our results offer insight into the way African Americans are both implicitly and explicitly discriminated against. Such biases underscore the role language can play in shaping public perceptions and encouraging prejudicial actions. It also reveals ways in which we can uproot social stereotypes surrounding historically marginalized groups and tackle harmful racial disparities. 

 

REFERENCES

Johnson, K. A., & Dixon, T. L. (2008). Change and the illusion of change: Evolving portrayals of crime news and blacks in a major market. The Howard Journal of Communications, 19(2), 125-143. doi:http://dx.doi.org/10.1080/10646170801990979

Kulaszewicz, Kassia E.. (2015). Racism and the Media: A Textual Analysis. Retrieved from Sophia, the St. Catherine University repository website: https://sophia.stkate.edu/msw_papers/477

Oliver, M. (2003). African American Men as “Criminal and Dangerous”: Implications of Media Portrayals of Crime on the “Criminalization” of African American Men. Journal of African American Studies, 7(2), 3-18. Retrieved from http://www.jstor.org/stable/41819017

Smiley, C.J. & Fakunle, D. (2016) From “brute” to “thug”: The demonization and criminalization of unarmed Black male victims in America, Journal of Human Behavior in the Social Environment, 26:3-4, 350-366, DOI: 10.1080/10911359.2015.1129256

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