social media

I’m Sorry! – The Language Behind YouTube Apologies and Cancel Culture

Jessica Chen, Jean Maynard, Naomi Muñoz, Daisy Terriquez

“I’m sorry, I’m taking accountability” is a phrase that may sound familiar to those who frequent the internet. This is referencing the category of YouTube videos known as the “apology video,” where, as the name suggests, influencers post videos of themselves apologizing for actions that caused them to be “canceled.” In this blog, we examine if these apology videos share any patterns in their word choice and behavioral manners and if certain key words and phrases contained in these videos have become recognizable to audiences and associated with this style of video. This study was conducted in two parts: (1) analyzing 10 different apology videos posted to YouTube to map the commonalities found in word choice and gestures and (2) a two-part survey to deduce if participants could identify apology videos based solely on a provided comment or phrase. With this entry, we hope our findings can further the understanding of internet language, as well as promote conversations of media literacy, social advocacy, and mental health surrounding internet spaces.

Read more

, , ,

Alpha Males: Talk of the Trade

Pauline Antonio-Nguyen, Elizabeth Gin, Anna James, Jennifer Padilla, Shanna Yu

An internet phenomenon: the Alpha Male. These men view the world in black-and-white gender roles steeped in misogyny, where women are not their equal and are expected to be subservient to them. This study takes the philosophies behind existing research done on conversation patterns between men and women and applies them to these alpha males. Do their beliefs and attitudes show up in how they speak? How do they navigate conversations compared to their non-alpha equivalents? While existing studies on aspects of speech like turn-taking and interruption have been largely inconclusive in the world of gender at large, we will be taking conversation analysis into the domain of alpha males in hopes of more conclusive results. What kind of language do they use to refer to those they find lesser, and do they interrupt women more than they do men? An alpha male’s word choices may reflect their misogynistic principles in potentially derogatory ways, and they may be more prone to interrupting others than a non-alpha male is.

Read more

, , , , ,

Influencer Speech and Indexicality

Shogo Payne, Olivia Brown, Jade Reyes-Reid, Ricardo Muñoz, Priscella Yun

Stereotypically, people consider TikTok influencers to be vapid and unimportant. However, through our research on the language of TikTok influencers, we have found that through particular lexical choices, influencers establish their niche within the beauty industry by appealing to the emotions of viewers, becoming vessels for product promotion and marketability. Our work has proven that the greater frequency of inclusive and second-person pronouns, as well as language heavily using imagery and hyperbole, is the key to success for beauty influencers. We compare videos from five of TikTok’s most popular beauty influencers to see if our targeted lexical features can be shown to not only correlate with an increase in popularity on the platform but also to engage viewers as part of an exclusive community. Creators and brands will benefit from awareness of these linguistic tools’ ability to promote their message and products, while also giving them linguistic factors to consider in terms of marketing.

Read more

, , , ,

Linguistic Features between University Students in California and New York: Reddit Version

Clyde Villacrusis, Sydnie Yu, Monique Tunnell, Michelle Kim

How often do you find yourself saying “hella” or “bet?” How does this differ for people across different regions? The research project discussed in this blog article compares linguistic markers, particularly slang, in Reddit communities of universities in New York and California. Using basic forms of natural language processing, we analyzed posts from multiple university-specific Reddit pages to identify regional slang differences. Results show distinct slang patterns reflecting local cultures — New York slang influenced by its diverse linguistic environment, and California slang shaped by surf and tech cultures. In addition, New York university students have shown that they are less susceptible to slang and jargon, as most of them are out-of-state students and therefore, grew up in a community where it is harder for them to immerse in NY culture and its language. For California students, it is easier for them to immerse in the language culture because most are in-state students. These findings highlight the role of language in forming regional identities in digital spaces, offering insights for sociolinguistic research and digital communication strategies.

Read more

, , , ,

In-Person vs. Digital Communication Styles Among Classmates

Megu Kondo, Devina Harminto, Yixing Wang, Yinlin Xie, Batool Al Yousif

In the rapidly evolving landscape of communication, the distinction between in-person and digital communication has become a focal point of linguistic and sociocultural studies. This project delves into the nuanced differences in language use, expression, and understanding across these two modes of communication. The purpose of this study is to investigate how individuals adapt language styles, tones, and dialects between in-person and digital communication. Additionally, our study aims to explore these preferences specifically among classmates, shedding light on the nuances of their communication choices. By examining various linguistic features such as informality, use of emojis, turn-taking, and the adaptation to the absence of non-verbal cues in digital platforms, this study illuminates how digital communication often necessitates a shift from traditional language norms observed in face-to-face interactions. We designed a survey using Google Forms for accessibility and ease of distribution and collected data from 30 college students (18-22 years old) who engage in both in-person and digital communication.

Read more

, , , , ,

Social Media Use Among College Students

Jasmin Carranza, Andres Guzman, Luwuam Haile, Armine Mkrtchyan, Tzlil Pinhassi

Social media plays a significant role in the lives of college students, shaping how they connect, communicate, and express themselves. Given its pervasive influence, it is natural to assume that they would have an understanding of their own language use online. This study works to uncover just that. It specifically explores the linguistic features of grammar and vocabulary use among college students on various social media sites and examines their self-awareness of these patterns. We conducted a survey asking students about their social media usage and perceptions of their language, then analyzed their interactions through provided screenshots. Our findings confirm that students adapt their language to fit the platform’s context: Snapchat and TikTok are characterized by informal language and relaxed grammar, while LinkedIn and Facebook maintain higher formality with complex grammatical structures. Students’ perceptions of their language use closely align with their actual usage, indicating a high level of self-awareness. On platforms like Twitter and Instagram, students correctly estimate their use of informal vocabulary and abbreviations while recognizing the formality of their language on LinkedIn. This research highlights the dynamic nature of language use by college students across social media platforms, showcasing their ability to navigate different communication environments effectively. Our findings underscore students’ awareness of the distinct linguistic norms required by various social networks, adjusting their language accordingly with minimal discrepancy between self-perception and actual use.

Read more

Introduction and Background

In today’s dynamic digital age, social media is a premier medium for immediate conversation and communication, significantly influencing how individuals interact and express themselves (Merchant, 2006). Platforms like Instagram, Facebook, Snapchat, Twitter, TikTok, and LinkedIn serve as tools for social interaction and spaces where unique linguistic patterns emerge. While existing research highlights variations in language use across social media, a notable gap exists in understanding how these linguistic features manifest among college students (Kemp et al., 2021). Additionally, there is limited exploration into how these students perceive their language use across different platforms and whether their perceptions align with their usage patterns. This study addresses these gaps by examining grammar and vocabulary use among college students across various social media platforms. By analyzing formality, vocabulary, use of slang, and emoji frequency, this research aims to uncover the differences in language use. Furthermore, it investigates the self-awareness of college students regarding their language use, comparing their perceptions to their actual linguistic behaviors. Thus, our research question is: How do linguistic features, specifically grammar and vocabulary use, vary across the social media platforms of college students, and how do these students’ perceptions of their language use align with their actual usage?

Methods

To explore the linguistic features and self-awareness of language use among college students on various social media platforms, our study employed a mixed-methods approach, combining quantitative surveys with qualitative content analysis. To start, we sent out a survey to students of UCLA who self-reported their language on various social media platforms. Then, participants were asked to provide screenshots of their interactions on each of the social media sites. This allowed for a direct comparison between self-reported data and actual language use. With this information, we were able to confirm or deny each student’s self-perceptions of their online language usage. The provided screenshots were anonymized to protect participants’ privacy.

Building on previous research by Skierkowski & Wood (2012) and Kemp & Clayton (2017), we hypothesized significant variations in vocabulary use, syntax, emoticon usage, and adherence to communication norms across different social networks. By investigating aspects of text messaging, including textese density and response times, for example, we provided a comprehensive understanding of language adaptation within different social circles. Ultimately, the study contributes to the broader comprehension of communication dynamics in the digital age, offering insights into how language is utilized and adapted within college students’ social networks.

Results and Analysis

The results are important in providing insight into the nature of the linguistic choices, not only consciously but also subconsciously, by young adults in digital communication. Taking a deeper dive, we analyze the results from each platform we considered — LinkedIn, Twitter, and Instagram—and provide examples to illustrate these trends.

LinkedIn: Formal Language Use

Appearance in LinkedIn, the professional networking site, invited a thicker coat of calcified tongue for student use of semi-formal scholarly language. This meant, simply: full sentences, big words, industry talk or just a professional sheen to it overall. Analysis revealed students’ self-reports on the language they used were consistent with their actual posts.

Example: In a typical post, a student wrote, “I am thrilled to announce that I have accepted an internship position at Boeing, where I look forward to contributing to the innovative team and developing my professional skills further.”

This example underscores the formal, structured language typical of LinkedIn, reflecting the professional nature of the platform.

Twitter: Casual and Expressive Language

On Twitter, where brevity and timeliness reign, a similar but distinct trend was apparent. Students frequently used slang, abbreviations, and emoticons with whom they clearly identified, as they later recognized and reported in their questionnaires. The students were able to note the spontaneity and personal expression that helped keep their informal tone, well, informal.

Example: A tweet from one of the participants read, “Just saw the weirdest episode of my fave series ever! 😱🤣 Can’t believe what just happened… #mindblown #bingewatching.”

This tweet is representative of the casual and expressive language that defines Twitter, complete with emoticons and hashtags that add a personal touch.

Instagram: Visual and Informal Communication

Instagram, a visually rich platform, also is a part of the informal text conversation game. In sharing their pictures, students were juxtaposing the images with very informal language, often with self-deprecating serializations, and using all sorts of creative text styling. Once again, students’ perceptions of their language use and the actual content analyzed were highly correlated.

Example: An Instagram caption accompanying a beach sunset photo stated, “No filter needed for this sunset 🌅 🌊  #sunsetvibes #beachlife.”

The use of emojis and hashtags enhances the visual experience, reflecting the informal and personal communication style prevalent on Instagram.

The consistency across different platforms suggests that students possess a clear understanding of the appropriate linguistic forms for each social media context. This was particularly evident in their ability to adapt their language to match the formality of the platform, whether in professional settings like LinkedIn or more personal spaces like Twitter and Instagram.

 

These findings are crucial for understanding the impact of digital communication on college student’s language use and identity construction in the digital age. By demonstrating how students adeptly navigate the linguistic landscapes of various social media, this research contributes significantly to broader discussions about digital literacy and the dynamic nature of language in social media settings.

Discussion and Conclusions 

The study aimed to explore the linguistic features of grammar and vocabulary use among college students on various social media platforms and examine their self-awareness of these patterns. Our findings provide valuable insights into how social media environments shape language use and how aware students are of their linguistic behaviors online. One of the key findings of our research is the adaptability of college students’ language based on the context of the platform. On platforms like LinkedIn, which are perceived as professional and formal, students consistently used structured, complex sentences and formal vocabulary. This indicates a clear understanding of the expectations and norms of professional communication. Conversely, platforms such as Twitter and Instagram, known for their casual and expressive nature, saw students employing informal language, including slang, abbreviations, emoticons, and hashtags. Snapchat and TikTok, which emphasize spontaneity and visual content, also reflected relaxed grammar and informal vocabulary. These variations in linguistic styles underline the students’ ability to navigate different communication environments effectively.

Another significant aspect of our study was the alignment between students’ perceptions of their language use and their actual usage. The survey results, paired with the analysis of online interactions, revealed that students accurately estimated their use of informal vocabulary and grammar on platforms like Twitter, Snapchat, TikTok, and Instagram. Similarly, they recognized the formality required on LinkedIn and Facebook. This high level of self-awareness suggests that students are not only aware of the different linguistic norms across social media platforms but also consciously adjust their language to fit these norms. This could be attributed to the fact that social media has a great presence in the lives of college students, making it easy to be familiar with and adapt to its expectations.

The findings of this study also help us understand how digital environments influence social interactions among young adults. The fact that college students are able to alter and modify their languages to fit several different social media platforms demonstrates a form of digital code-switching. There is a clear navigation between linguistic styles and norms, which mirrors larger societal practices of adapting communication styles in several social settings. Students are not only enhancing their digital literacy but also building their online identities that correspond to their desired social persona. As such, this adaptability in language use shows a larger phenomenon of identity formation and management in today’s digital age, where college students as well as other individuals curate their self-presentation across different platforms in online environments.

In conclusion, this research highlights the dynamic nature of language use by college students across social media platforms. Students demonstrate a keen awareness of the distinct linguistic norms required by various social networks and adjust their language accordingly. The minimal discrepancy between their self-perceptions and actual usage underscores their proficiency in navigating digital communication landscapes. These insights contribute to a broader understanding of communication dynamics in the digital age, emphasizing the importance of digital literacy. As social media continues to evolve, further research could explore how these linguistic adaptations and self-awareness develop over time and across different demographic groups. Understanding these patterns can help educators and policymakers create more effective communication skills in digital contexts, preparing students for the multifaceted nature of online interactions.

References

Kemp, N., & Clayton, J. (2017). University students vary their use of textese in digital messages to suit the recipient. Journal of Research in Reading, 40(December 2017), S141–S157. https://doi.org/10.1111/1467-9817.12074

Kemp, N., Graham, J., Grieve, R., & Beyersmann, E. (2021). The influence of textese on Adolescents’ perceptions of text message writers. Telematics and Informatics, 65, 101720. https://doi.org/10.1016/j.tele.2021.101720

Merchant, G. (2006). Identity, Social Networks, and Online Communication. E-Learning and Digital Media, 3(2), 235-244. https://doi.org/10.2304/elea.2006.3.2.235

Raccanello, Paul J. (2011) “Social networking texts among college students: identity and imagination online”. Doctoral Dissertations. 216. https://repository.usfca.edu/diss/216

Skierkowski, D., & Wood, R. M. (2012). To text or not to text? The importance of text messaging among college-aged youth. Computers in Human Behavior, 28(2), 744–756. https://doi.org/10.1016/j.chb.2011.11.023

, , ,

Generational Differences in Social Media Communication

Giordano Camera, Dylan Carr, Phoebe Haas, Nicole Wasserman

Have you wondered why your dad sends you extremely long texts compared to your best friends, who use memes and slang phrases for most of their communication? In our study, we explored two generations, Generation Z and Generation X and their language use on online social networking sites. We studied different social media posts between the two generations and looked at the differences in how they communicate, especially using text-dominant platforms. We used a plethora of social media sites to validate our findings, but our main areas of study were Facebook and Twitter/X. Our study concluded that Generation Z uses fewer words, more images in their post, and more slang phrases than Generation X does. We want our findings to highlight the contrast between the way these two generations communicate, as miscommunication can lead to unnecessary conflict. Our research contributes to the process of cataloging online communication trends among different generations.

Read more

Introduction

Our group aimed to study the differences in how different generations communicate on various social media platforms. Since its creation, social media has become a place where individuals can communicate with each other in ways they could not have before. People also tend to communicate on a topic that is currently popular in a particular social group, regardless of age (You et al. 2017). Using that factor, we can find valuable data that proves our hypothesis correct. Our research method proved perfectly accurate, as all of our data was correct, with minimal gaps in our study. Our group hopes that the data findings we provided also propel researchers to study differences in communication for other generations. The prevalence of social media is only growing, so our data can act as a stepping stone for future studies.

Methods

Our primary method of data collection revolved around influential people on social media. We would look at social media posts discussing a variety of topics (such as sports, popular culture, and politics) in order to look at data from a wide range of people, like Donald Trump. We made sure to expose ourselves to Generation Z and Xers from each perspective. This is because there are a lot of varying opinions by a diverse group of people on popular posts compared to smaller tweets that may have more of a hive-mind mentality. In addition, we looked at a variety of topics to get stronger evidence and to ensure the communication differences we found were not due to any topic differences (Achinstein, 1994).

Originally, we planned to contact people on Twitter or Facebook to gather their age, but instead, we only targeted accounts where they said their age in a previous post/bio or where it was publicly available (like a celebrity). Once we collected twenty Twitter/Facebook accounts from each generation, we randomly selected three accounts from each generation to really do a deep dive on. While we didn’t interview the people behind the social media accounts that we found like the researchers at Pennsylvania state did, we found that it was unnecessary as all information was available publicly (Zhao and Rosson 2009). In a matched pairs case study, we assembled all of the posts in an easy to view format and then compared the content of each generation’s posts. We noticed a variety of clashing factors across generations, and simultaneously noticed similarities within.

Results

After conducting our research, we found that there were many differences between the ways Generation X and Generation Z communicate online in posts and tweets on social media. Our results showed that differences in online communication was not dependent on the topic of the post or tweet (ie. sports, popular culture, politics) nor the social status of the user (ie. celebrity or common folk), but rather the age generation of the user.

One difference we found in the posts and tweets we analyzed was the number of words that each generation tended to put in their post/tweet. As seen in Chart 1 below, the average number of words on a post/tweet by a member of Generation X was 67 words and the median was 43 words. As seen in Chart 2, the average number of words by a member of Generation Z was 13.4 words, with the median being 11 words. From this, we concluded that Generation X tended to conduct more lengthy and descriptive posts with complete sentences in comparison to the younger Generation Z.

Another difference between the generations we found from our results includes the tendency for Generation Z to incorporate pictures in their posts/tweets and for the lack of imagery in posts/tweets by Generation X. Below is an instance where a member of Generation Z, Bilbo Baggins, uses a picture in their tweet about Trump’s recent conviction and the member of Generation X, Patrick Jones, does not.

Another contrast was the tendency for Generation X to more likely include words in all capital letters and the tendency for Generation Z to have slang terms in their posts/tweets. Below is an instance where a member of Generation Z, bella, uses a slang term, “brain rot” and the member of Generation X, Richard Shepard, does not include any slang words. The term “brain rot” is a slang term used by Generation Z (TikTok “Brain Rot”: How TikTok Is Changing the Way Gen Z Speaks | Redbrick Life&Style, 2024). Also in the example below, the member of Generation X has two words in all capital letters while the member of Generation Z only has one, and it is a shorter word. Both users are discussing the recent “Challengers” movie.

Discussion

Our findings demonstrate clear online communication trends within both generations that are not shared by the other generational group. These distinct patterns in writing and visual communication on social media add to our understanding of how different generations communicate in ways that do not always align with one another. These differences can contribute to intergenerational misinterpretations and tension. Our project identified what some of the prominent generational patterns on social media are, which are beneficial findings that provide a basis for wider intergenerational understanding. Additionally, it lays the groundwork for future research, such as the intricacies of these patterns and how the other generation perceives them.

The results of our research aid in our understanding of two broader phenomena: generational differences and online communication trends. As social media continues to grow and become a staple in people of all ages’ lives, it becomes a new arena for intergenerational tension to arise and unfold. Certain aspects of an age group’s communication can be specific and unique, and does not usually reflect ill intent. This knowledge is important for maintaining dialogues between multiple age groups, so that they do not fall to misunderstandings due to believing a form of speech was rude. For example, Gen X’s use of all capital letters for certain words could potentially be read as aggressive by a younger person who rarely does so, while Gen Z’s use of slang and images may appear unserious or confusing to an older person. Previous research has demonstrated similar phenomena, such as younger people finding the use of periods in text messages to have a negative valence and make the message insincere (Gunraj et al., 2015). Knowing these communication methods are simply an attribute of their generation can ease any potential misgivings on the receiver’s end.

Analyzing the patterns found in our research can also contribute to future literature about online trends and cycles. Gen Z especially uses numerous contemporary references and constantly evolving slang terms and reference images that reflect the state of the internet and popular culture, particularly within their generation’s main bubble on the web. Our findings contribute to the academic understanding of social media trend cycles and communication.

In conclusion, our research begins to catalog numerous generation-specific social media communication patterns into the literature on online communication. We provide many examples of observable differences between how Generation X and Generation Z structure text-based posts on social networking sites, often in ways that directly contrast each other. Though we can offer hypothetical insights into potential misunderstandings these may cause, we recognize that further research is required to analyze these trends in full and begin to study how they verifiably contribute to intergenerational conflict.

References

Achinstein, P. (1994). Stronger Evidence. Philosophy of Science, 61(3), 329–350. https://www.jstor.org/stable/188049?seq=21

Gunraj, D. N., Drumm-Hewitt, A. M., Dashow, E. M., Upadhyay, S. S. N., & Klin, C. M. (2015, November 22). Texting insincerely: The role of the period in text messaging. ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0747563215302181?via%3Dihub

TikTok “Brain Rot”: How TikTok Is Changing The Way Gen Z Speaks | Redbrick Life&Style. (2024, April 22). Redbrick. https://www.redbrick.me/tiktok-brain-rot-how-tiktok-is-changing-the-way-gen-z-speaks/#:~:text=The%20language%20associated%20with%20Generation

You, Q., García-García, D., Paluri, M., Luo, J., & Joo, J. (2017). Cultural Diffusion and Trends in Facebook Photographs. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 347-356. https://doi.org/10.1609/icwsm.v11i1.14902

Zhao, Dejin, and Mary Beth Rosson. (2009). How and why people twitter. Proceedings of the ACM International Conference on Supporting Group Work, https://doi.org/10.1145/1531674.1531710.

, , ,

Celebrities and Controversies: What Works and What Doesn’t in Apology Videos

In today’s high society of “cancel culture,” apologizing has become a language that has diversified. This study dives deep into the world of online apologies, exploring how the majority of our influential figures today, celebrities, use language in public apology videos to mend what’s been broken and rebuild trust with their audience. The emotions, words, and actions can all seem like an act crafted for the cameras. Through the analysis of 15 apology videos, we navigate the comments and perceptions made in the landscape of the online audience to decide whether a public apology is genuine or insincere. Using digital ethnography and discourse analysis to give us insight into solving this issue, we translate the visual and verbal cues that aren’t in the spotlight – the tone, the gestures, and the choice of words, which shape the perceptions of authenticity. But it’s not just about dissecting these apologies. We also evoke what characteristics make for a genuine apology– the unscripted words, raw emotions, and simple background. By differentiating successful apologies from those that were unsuccessful, we reveal candor in the meaning of language that is displayed in front of a public audience. Beyond what the surface entails, we explore the morality behind celebrity apologies. They can be a mirror reflecting societal values, fluctuations in power, and the road to redemption. This research is not for mere insight, but also offers a deeper understanding of what it truly is like behind the screens in this digital age. There is much power in how we express ourselves; dictating how we shape relationships, rebuild trust, and craft a shared narrative.

Read more

, , , , ,

Unveiling Linguistic Appropriation: A Dive into Slang Usage on Twitter

Asfa Khan and Ayub Abdul-Cader

A world where words wield power and every hashtag tells a story—welcome to the exploration of slang on Twitter.

Exploring the intricate dance between language, identity, and culture, this study delves into the phenomenon of linguistic appropriation on Twitter. Focusing on the adoption of African American Vernacular English (AAVE) by non-Black individuals, particularly white working-class Twitter users, we uncover patterns that illuminate the dynamics of identity formation in digital spaces. Through analysis of tweets from Black Drag Queens and white Twitter users, we dissect linguistic elements such as phonetics, word choice, syntax, semantics, and pragmatics. Our findings reveal a nuanced picture of language use, shedding light on the motivations behind linguistic appropriation and its implications for cultural dynamics and societal norms.

Read more

, , , , ,

Bridging Bytes and Cultures: The Impact of AI on Linguistic and Cultural Nuances in Online Conversations

Ley’ah Mcclain-Perez and Ivan Pantoja Tinoco

The digital era is marked by the ascension of artificial intelligence. In particular, this presentation will delve into the transformative influence of ChatGPT on the online communication landscape, particularly within the microcosm of X. This AI-driven tool created by OpenAI not only redefines user interactions but also molds the linguistic contours of digital discourse. Our inquiry is rooted in a critical analysis of ChatGPT’s integration into social platforms, assessing its impact on the quality of communication, user perceptions, attitudes, and the ensuing ethical dilemmas.

Our research navigates through the multifaceted ramifications of ChatGPT, exploring its syntactic coherence and semantic relevance, alongside its occasional pitfalls that may lead to misinterpretations. It highlights the diverse demographic engaging on X, using ChatGPT for various purposes ranging from casual interaction to more substantial exchanges, thus painting a broad spectrum of digital human-AI interaction.

This exploration is not merely an academic exercise but a pivotal discourse that contributes to understanding the nuanced dynamics of digital communication in the AI era. It poses critical questions about the future of online interactions, the role of AI in shaping public discourse, and the ethical boundaries of AI integration into social platforms.

Figure 1: Demographics showing the potential of AI in the case of ChatGPT

Read more

, , , , ,
Scroll to Top