June 2024 – Page 2 – Languaged Life

The Persian Identity Crisis

This study delves into the intricate relationship between language practices and the construction of individuals’ sense of belonging and cultural identity, with a specific focus on the Persian language, also known as Farsi. For second-generation Iranians residing in Los Angeles, this linguistic journey takes on a multifaceted nature, as they navigate a complex interplay between Farsi and English. This often leads to the adoption of code-switching, a phenomenon where individuals seamlessly alternate between the two languages, colloquially referred to as ‘Finglish’ or ‘Pinglish.’ Through interviews and observations within Iranian diaspora communities, this research aims to answer the following question: “Have Persians lost their self-identity and how is this reflected in language use? Our results would shed light on explaining how language proficiency, cultural adaptation, and social dynamics intertwine to shape the nuanced ways in which code-switching serves as a mechanism for negotiating and expressing multiple cultural identities, thus shedding light on its implications for Persian identity.

Introduction

The complex relationship between language practices and the construction of individual identity within diaspora communities is an interesting area to study, particularly in the context of second-generation Iranians residing in Los Angeles. Our project focuses on the Persian language, also known as Farsi, and its role in shaping cultural identity among the demographic. In the hugely diverse and multicultural landscape of Los Angeles, navigating between Farsi and English becomes a complex journey, often manifesting in code-switching or more commonly known as “Finglish”. Through a mix of interviews and observations within the Iranian diaspora, it begs the question: Have Persians lost their identity? Furthermore, what language traditions have changed to reflect that language might be a casualty of this identity crisis? Does a change need to happen to regain a sense of identity within the Fasi-speaking communities? By unraveling the complexities of language proficiency, cultural adaptation, and social dynamics, we seek to illuminate how code-switching serves as a mechanism for negotiating and expressing multiple cultural identities, thereby offering insights into the implications for Persian identity in diaspora settings.

Background

When we examine Iran’s rich history, it becomes evident that Iranians possess a heritage steeped in antiquity, vastly different from the modern Iran that it is today. This historical depth is intricately interwoven with the Persian language, serving as a tangible reflection of Iran’s multifaceted evolution. Among some Iranians, regardless of their location, Persian is revered as a cultural benchmark, embodying resilience and continuity across generations. However, the accessibility of resources pivotal for preserving and nurturing Persian proficiency varies among Iranian Americans. While some benefit from cultural events, media outlets, and language courses, others encounter barriers that impede their linguistic immersion and connection to their community.

Thus, many Iranian Americans resort to “code-switching,” a practice where an individual uses two or more language varieties in the same speech event or exchange, as defined by Woolard (2004). Within the diaspora, instances of code-switching manifest in colloquial phrases such as “is so zesht” to denote something ugly or rude, or expressions like “Kheili cute-eh,” signifying endearment. However, code-switching often elicits skepticism within the diaspora, particularly among native speakers. They perceive it as a departure from correct language usage, thereby exacerbating a disconnect between generations and contributing to the evolving linguistic landscape of Persian.

This disconnect is even more evident in the results of the ACS data analysis conducted by Bozorgmehr and Douglas (2011). Their findings reveal a notable linguistic divide within the second-generation Iranian diaspora: while 40% reported proficiency in Persian, a striking 98% acknowledged fluency in English, underscoring the prevalence of English as the dominant language of communication. As second-generation Iranians struggle with the intricacies of their linguistic identity amidst shifting cultural landscapes, this study sheds light on the nuanced dynamics shaping contemporary Persian language usage within the diaspora.

Figure 1: Persian language use among first-generation and second-generation Persians

Furthermore, in the middle of this linguistic mismatch, most of the participants in this survey acknowledge only speaking Persian, while speaking with their group of friends in Farsi alongside English. As a result, diaspora youth unknowingly serve as informal language brokers, facilitating the seamless exchange and merger of both languages in their daily lives. This informal linguistic exchange not only highlights the intricate interplay between cultural adaptation and identity creation but also demonstrates the adaptability of the second-generation Iranian diaspora.

Discussion

The information discussed in this section is a widespread concern among the Persian diaspora. It is a common question of whether Persian is being taught enough, and if not, why parents are not teaching their children Persian. Although the first generation of Iranians overwhelmingly understands Persian and could teach it to their children, they choose not to due to Persian’s position when compared to English. Should a parent teach their child Persian to keep the language alive, and thus risk their child’s ability to speak fluent English, or do they teach their child English first and risk their child’s ability to speak the native tongue well? When framed against the financial success of the Persian diaspora, it makes sense that many would stray away from teaching Persian, even when they could do so.

Survey

To get a better grasp of Persian Identity, we conducted a brief survey on the UCLA campus and asked participants, mainly of Iranian backgrounds, whether they believe that Persians have lost their self-identity or not. When we gained our participant’s answers and compared them to our original hypothesis, the data shown below was not surprising to us, however, what followed next was:

Figure 2: Have Persians lost their self-identity?

Figure 3: Are Persians represented correctly in the media?

Survey Experiment Conclusion

From the two surveys that we conducted, the data clearly showed us that most Persians do not believe that they have kept their original identity and almost all of them agreed that the media’s coverage of Iranians does not help at all to fix this issue. When we take the findings we gathered from this experiment and combine them with our other data, we constantly see the same trends and conclusions about the Iranian people and their identity which will be discussed in more detail below!

Discussion and Conclusion

When we take a moment to evaluate all of our data and findings that we have stated so far, it is clear to us that the Persian people have lost their identity to some shape or extent. As shown, a lot of our data and participants believe this to be true for the most part and many agreed that for the Persian community to regain their identity and status, something must change with the Iranian Regime (government) representing them back in Iran. Although we do not have public data on this topic many of our participants and even articles universally agree that a direct change to the Iranian regime influences the words views and perceptions of the Iranian people. Overall, we are pleased to report that our original hypothesis of how “Persians have lost their self-identity” is to at least some extent true and the continued destiny of whether it remains true or not simply depends on the actions that the Iranian government and Iranian people continue to take.

References

Bozorgmehr, M., & Douglas, D. (2011). Success(ion): Second-Generation Iranian Americans. Iranian Studies, 44(1), 3–24. http://www.jstor.org/stable/27919961

Woolard, K. A. (2004). Codeswitching. In A. Durantic (Ed.), A companion to linguistic anthropology. Malden: Blackwell Publishing.

Survey Results

M150 Project Survey

Code-Switching, cultural identity, media representation, second-generation

Words Matter: How Language Shapes Career Aspirations

Sociolinguistics

Corona Smith, Fehma Zahid, Tadeh Amirkhanian, and Taleen Amirkhanian

In today’s rapidly changing society, the language we choose to use not only reflects our future aspirations but also has the ability to guide and change them. This study delves into the nuanced interplay between language and gender. Also, it examines how linguistic differences in word choice, tone, and body language shape career aspirations among a wide range of UCLA undergraduate students with diverse backgrounds. Key takeaways from the study indicate that men are indeed more likely to use, ‘stronger,’ language when discussing their futures as compared to their female counterparts. In doing so, the study aims to understand these linguistic patterns to promote an inclusive environment that empowers individuals in pursuing their aspirations – with confidence and determination – regardless of their gender.

Introduction and Background

Boss or bossy? Assertive or aggressive? These seemingly innocent adjectives are often thrown around the workplace to describe one’s peers and colleagues. However, within the realm of communication, the choice of words carries immense weight, reflecting and perpetuating societal norms and expectations. The dichotomy between being perceived as assertive versus aggressive, or bosslike versus bossy, highlights the distinct linguistic double standards that often characterize interactions between genders.

Catherine Neiner’s “Bossy, Bitchy, Brazen” is a great Ted Talk in which she discusses the way that women are perceived in work environments.

Thus, for our research project, we wanted to delve a little deeper into how men and women think about their careers. Our official research question was: Do college-aged women and men use different word choices and tones when speaking about their future career paths? In order to understand this question, let’s explore some past literature.

In previous studies of speech patterns among men and women, researchers found some evidence that women more often made use of cooperative feedback, supportive interruption, questions, accommodating behaviors, compliments, and hedging (Plug et al. 2021). They also found that, when gender identity was made salient to women in the experiment, these women used more tentative language (Plug et al. 2021).

Not only that, but further research also suggests that gender-based differences in language patterns are very common in the workplace. Kristen M. Getchell and Lauren Skinner Beitelspacher conducted research on language that was used to describe male and female CMOs through a Forbes article published in 2020.

Updated annually, this Forbes article provided Getchell & Beitelspacher with their research findings. Click here for the full article from 2023!

They found that female leaders are often described in highly gendered ways that play up their nurturing or communal skills and downplay their agentic or leadership skills (Getchell & Beitelspacher 2020). Women were more commonly described as, “emotional,” “humanizing,” and “compassionate,” while men were more often described with words like, “powerful,” “confident,” and, “bold” (Getchell & Beitelspacher 2020). Because women are spoken about so differently from men in professional settings, we hypothesized that bringing up their careers would make this gendered difference more salient to female participants, which might cause them to speak about their future in a more traditionally “female” way. We hypothesized that these differences would emerge in our research as women use more fillers, hand gestures, and adjectives emphasizing interpersonal skills as compared to their male counterparts.

Methods

In order to investigate this hypothesis, we conducted semi-structured interviews with sixteen college students at UCLA (eight male and eight female). Our participants were selected using convenience sampling. It is important to note that this sampling method could make our results less generalizable. However, since each group member found participants from their own community at UCLA, we feel that we were still able to get a relatively diverse sample, ranging across many different majors and social backgrounds. Since these interviews were semi-structured, we went in with a set of questions but also allowed participants to talk about what they found interesting or important to them. Our questions related to what our interviewees hope to do after college, how confident they are in that path, why they’ve chosen that route, and more (see appendix for a full list of questions). We recorded the interviews so that we could truly analyze the body language and tone after all of the data was collected.

In order to analyze the interview data, we created a spreadsheet that listed different patterns and elements of speech that we expected to see, such as filler words or hedging. We then counted up each time we saw or heard one of these things in order to see if men or women would differ. We also paid special attention to which verbs and adjectives we heard the most from each group. We then looked at all of this data together and came up with our results.

Results and Discussion

Based on our preliminary research, we hypothesized that college-aged women would speak with less certainty and use fewer words that emphasize power and more words that relate to compassion and emotion. And our findings showed just that. Our research showed that males were almost twice as likely to use ‘assertive’ verbs when speaking about their futures, with almost 66% making statements like: “I will be a doctor in five years”, as compared to only 34% of our female participants. Female participants generally used more modal verbs with approximately 66% of sentences using verbs like might, should, and could (i.e. “I might try to become a lawyer once I graduate”).

Here we can see the breakdown of strong and weak verbs used by our male and female interviewees.

Our research also took note of participants’ body language as they were being interviewed. Most notably, female participants were on average almost 2x more likely to use filler words (i.e. um, like, uh) when speaking about their futures, with approximately 70 instances recorded across eight participants (as compared to 37 in males). Our researchers also qualitatively noted that their female participants used more hand gestures, facial expressions, and movements when speaking and that male participants made more continuous eye contact across interviews.

Further, our analysis extended beyond verb usage to explore the skills participants took pride in, revealing further disparities based on gender. While male participants often listed tangible, technical workplace skills such as proficiency in Python and Microsoft, females were more inclined to highlight intrapersonal competencies like creativity, organization, and communication.

Among other things, these findings suggest that gendered socialization processes may influence individuals’ perceptions of their strengths, with males more likely to prioritize technical skills and females valuing interpersonal abilities. These findings offer valuable insights into the underlying societal expectations that shape individuals’ career aspirations. The use of assertive language among males and tentative language among females highlights the existence of linguistic double standards, which may contribute to disparities in career advancement and achievement.

These findings offer valuable insights into the complex interplay between language, gender, and societal expectations, illuminating the subtle ways in which linguistic cues perpetuate gender disparities in career advancement and achievement. By addressing these biases at an early stage, we can foster an inclusive environment that empowers individuals to pursue their aspirations with confidence and determination, regardless of gender.

References

Getchell, K. M., & Beitelspacher, L. S. (2020). Better marketing for female marketers: Gendered language in the Forbes CMO list. Business horizons, 63(5), 607–617.

Plug, I., Radboud University, NL, Stommel, W., Radboud University, NL, Lucassen, P. L. B. J., Radboud Univ. Medical Centre, NL, olde Hartman, T. C., et al. (2021). Do women and men use language differently in spoken face-to-face interaction? A scoping review. Review of Communication Research, 9, 43–79.

assertive behavior, body language, career aspirations, college students, Gender Stereotypes, workplace

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

Sociolinguistics

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

Introduction

In the fast-paced world of online communication, the integration of artificial intelligence (AI) technologies has brought a significant shift in how people interact and engage with digital platforms such as emailing or Twitter. At the forefront of this transformation is ChatGPT, an advanced AI language model developed by OpenAI. With its widespread adoption, particularly on platforms like Twitter, ChatGPT has sparked a wave of curiosity and inquiry into its impact on interpersonal communication dynamics.

ChatGPT’s presence on Twitter is hard to miss. Its ability to generate text responses that closely mimic human speech has made it a staple tool for many users across the platform. From casual conversations to more formal discussions, ChatGPT has seamlessly integrated into the online social media platform Twitter, which can be deceiving for those who have not incorporated AI into their lifestyles.

Twitter, renowned for its role in facilitating global connectivity, serves as a hub for real-time conversations and idea exchange. Users from diverse backgrounds come together on the platform to share thoughts, opinions, and news. With ChatGPT now part of the conversation, the dynamics of communication have undergone a subtle yet significant transformation, prompting researchers to delve deeper into its implications.

Our study seeks to address several key research questions:

How does the integration of ChatGPT influence the quality and nature of communication within social media and discussion forums?
What are the perceptions and attitudes of users toward ChatGPT-generated content in online interactions?
What ethical considerations arise from the use of ChatGPT in facilitating online communication, and how do users navigate these concerns?

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Figure 2: The Inside Story of ChatGPT’s Astonishing Potential | Greg Brockman | TED

Methods

Our study involved a qualitative analysis of tweets gathered from X users. We collected tweets related to ChatGPT usage from teachers, recruiters, job applicants, and corporate employees. These backgrounds are important to note as these X users were most commonly found tweeting about our topic. Some keywords that we used to find tweets include “ChatGPT email,” “ChatGPT job”, and “ChatGPT ethics.” We filtered each search by tweets from the past year and tweets with the most engagement. Once we obtained these tweets, we analyzed the user’s holistic profile to ensure they were not a bot user. These keywords and filters provided a wide range of perspectives on ChatGPT integration in online communication.

Our analysis focused on categorizing tweets into for and against ChatGPT usage and into categories based on their employment background to discern users’ attitudes towards ChatGPT-generated content. In order to accomplish this, we examined the tone and vernacular of the tweets to distinguish the X user’s attitude. Furthermore, we also examined any memes or emoticons in the user’s tweets as this allowed us to better interpret the tone behind their tweet. Analyzing the tone, vernacular, memes and emoticons was crucial for us to depict any sarcasm.

Results and Analysis

After ChatGPT was implemented in online discourse, our analysis shows notable changes in the tone and linguistic expressions of conversations. The language used is a combination of official and casual, and ChatGPT comments frequently reflect the conversational tone that permeates online interactions. The limitations of AI-generated material in preserving contextual nuances are highlighted by difficulties in interpreting linguistic nuances including comedy, sarcasm, and cultural references.

Discussion

The results of our research provide a more comprehensive view of how online conversation is changing in the era of artificial intelligence. Although ChatGPT makes communication easier and improves accessibility, its effects on language use and cultural dynamics need to be carefully considered. Through adept handling of AI-generated content, we can optimize its potential to enhance digital connections while reducing the likelihood of misunderstandings and cultural insensitivity.

The key to maximizing AI-generated content’s ability to promote meaningful conversation while avoiding communicative dangers is to manage it strategically. Through the development of cultural sensitivity and contextual cue awareness, users may skillfully negotiate the complex landscape of online communication, utilizing AI’s augmentative powers without sacrificing human connection.

An ongoing conversation about the development of digital literacy and appropriate AI use is essential to this project. Giving consumers the means to understand language nuances and make sense of subtle implications helps guarantee that the emergence of AI-driven communication will continue to be a positive force for change.

References

Carrie Bradshaw Hater. “My Students Are Using CHATGPT for Their Essays and Everyone Is Turning in the Same Essay!!!” Twitter, Twitter, 4 Mar. 2024, twitter.com/nancytaughtyou/status /1764491684446900521.

Courtney Glory to Heroes Wells. “I Used CHATGPT When I Was Overtired and Needed to Get an Email to My Daughter’s Teacher That Made Sense and Didn’t Trust My Own Editing. I Don’t Care If She Knows — It’s Better than the Soup She Would Have Gotten If I Did It on My Own.” Twitter, Twitter, 28 Feb. 2024, twitter.com/ndesquiress/status/1762909572807708894.

Kepha, Brian. “Maaan ,CHATGPT Is Great at Corporate Lingo and I Love This.with It, It Is so Easy to Communicate a Serious and Business Tone Especially on Emails and Job Applications. This Is a CHATGPT Appreciation Tweet.” Twitter, Twitter, 29 Feb. 2024, twitter.com/AngelofVerdant/status/1763065674501394463.

Gawne & McCulloch. “Emoji as Digital Gestures.” Language@Internet, 2019.

Posts, Hannah. “It’s Hard to Tell. English Isn’t Her First Language, but the Communication Program I’m Using (I Lied, It’s Not Actually Email) Has a Translate Function She Could Use. in This Particular Instance She Was Just Replying, so All She Needed to Say Was ‘OK.’” Twitter, Twitter, 28 Feb. 2024, twitter.com/HannahPosted/status/1762946495324500456.

Sharma, S., & Yadav, R. (2023). Chat GPT – A Technological Remedy or Challenge for Education System. Global Journal of Enterprise Information System, 14(4), 46-51. Retrieved from https://www.gjeis.com/index.php/GJEIS/article/view/698

AI, ChatGPT, online communication, social media, tones, virtual

No Güey, Spanish Social Media is a Language Unto Itself

Sociolinguistics

Social media is the vehicle that carries much of our communication and culture across the internet nowadays. Unquestionably, its relevance to today’s society is irrefutable and its ability to be used across multiple languages is something to be studied. The focus of this article looks into whether social media influences Spanish speakers in their everyday use of Spanish like how popular trends across English social media does. This study observed popular trends in Spanish social media and slang often included in posts across popular platforms like Facebook, YouTube, Twitter (X), and Instagram. Then, surveyed UCLA students and high school students discussed their use of social media and whether they use slang learned from social media in their everyday interactions. Respondents showed that while the slang and language they pick up does match what is often seen in social media, they instead stated that they primarily picked up new words from people they talk to often, like friends and family, not social media. Our findings suggest that while social media is a strongly influential phenomenon on individuals, for the Spanish speaker it is more so a reflection of changes in their language rather than being the influencer.

Introduction and Background

Our research examined the dynamic interactions that occur between Spanish-speaking people and the constantly changing social media environment. Our main goal was to investigate the complex linguistic trends and shifts in Spanish that are made possible by Internet communication. We aimed to investigate how Spanish-speaking users’ word choices and phrases have changed as a result of digital communication platforms by closely examining the impact of social media culture on language use.

Social media platforms are vibrant centers of language exchange in today’s digitally connected world, where users participate in a variety of communication activities, from chats to formal discourse. Our goal in conducting this research was to clarify how this digital world has affected the development of Spanish language usage. Determining if linguistic patterns seen in online encounters result in changes to people’s face-to-face conversational styles was one of the main goals of our research.

The various ways that social media culture affects language use in Spanish-speaking populations are clarified by our findings. As people crossed the digital environment using a combination of traditional language rules and modern terms, we saw fascinating patterns of language creation and adaptation. Additionally, our research demonstrated the close connection between language use in online contexts and physical communication styles, emphasizing the interdependence of virtual and real-world interactions.

Recognizing the subtle aspects of language change on social media platforms is essential for understanding bigger societal transformations and cultural dynamics in today’s digital world. Our research sheds light on the constantly changing nature of language and communication in modern society by exploring the linguistic changes caused by online engagement.

Methods

Our research project embarked on an in-depth exploration, delving into the dynamic evolution of the Spanish language facilitated by the pervasive influence of social media platforms. Targeting Spanish-speaking users, particularly high school and college students, our study aimed to comprehensively understand linguistic trends and shifts induced by internet culture. Specifically, we sought to discern whether users’ word choice on social media platforms diverged from their conversational language usage. Our methodology encompassed two primary approaches: social media analysis and surveys conducted among high school and college-aged Spanish speakers.

To dissect linguistic patterns prevalent on social media, we undertook a meticulous examination of word choice employed by Spanish-speaking users across platforms such as TikTok, X, and Instagram. This process involved deploying conversational analysis techniques to scrutinize the content and language structure evident in user-generated posts, comments, and interactions. Through this methodological approach, our aim was to unearth prevailing trends in language use, encompassing the prevalence of slang and informal speech styles within these digital spaces. Simultaneously, we administered surveys to high school and college students who self-identified as Spanish speakers. These surveys were thoughtfully designed to ascertain the vocabulary and language preferences of students in their online interactions. By comparing the linguistic behaviors observed on social media with those reported in the surveys, we sought to elucidate any disparities or consistencies across different communication mediums. Furthermore, qualitative interviews conducted with a subset of participants provided additional insights into how social media platforms influence language use among Spanish-speaking youth, thereby shedding light on potential shifts towards either more informal or formal speech patterns.

Overall, our research endeavors were dedicated to unraveling the intricate relationship between social media culture and language evolution within the Spanish-speaking community, with a particular focus on high school students as a pivotal demographic in this evolving digital landscape.

Results and Analysis

Our observational data showed that Spanish-speaking online users, such as influencers from top-liked posts, frequently used slang or informal words in Spanish when recording a video. The most common words throughout the posts were the following: “no mames” (no way), “bichota” (a female drug lord or female empowerment), and “de veras” (really). For example, this line with “no mames” from a YouTube video with over a million views, has become a voiceover used by other influencers across social media platforms.

However, only 8 out of 22 participants from our survey data reported learning about “no mames” and “deveras” from social media, while more than half explained learning these and other Spanish words from their family and friends. No one reported learning about “bichota” and 3 participants reported learning about abbreviations, such as “que,” “porque,” and “te quiero mucho” from social media, which contrasted from our observational data.

Additionally, Figure 1 shows that about 60 % of participants reported “not at all” or “rarely” using Spanish words learned through social media compared to the 40 % who “sometimes” or “very often” use these Spanish words in everyday conversation.

Figure 1: Participants’ frequency of Spanish words or phrases (picked up through social media) in everyday conversations

Figure 2 illustrates the Spanish language proficiency of the participants to confirm that they were from Spanish-speaking communities when making our analysis.

Figure 2: Survey participants’ self-evaluated Spanish proficiency

Figure 3 summarizes the participants’ reasoning for using Spanish words from social media as “trendy/cool,” “funny,” and helpful when communicating with other Spanish speakers.

Figure 3: Reasons participants use Spanish words from social media

So, while an individual can use slang in social media and in everyday conversation, they will actively choose based on who they are talking to, which may not match what they encounter or see on social media.

Discussion and Conclusions

Our research ventured into the vibrant intersection of social media and the Spanish language, revealing intriguing insights about linguistic evolution in digital spaces. Despite the prevalent use of slang and informal expressions by Spanish-speaking influencers on platforms like TikTok, X, and Instagram, our findings suggest a nuanced relationship between online language trends and everyday speech. Contrary to our initial hypothesis, the majority of surveyed Spanish speakers did not attribute their linguistic repertoire to social media influences. Instead, personal interactions with friends and family emerged as the primary sources for acquiring new slang and expressions. This indicates a significant degree of linguistic autonomy among Spanish speakers, who navigate between the informal lexicon of digital spaces and the colloquial language of real-life conversations.

While social media undoubtedly shapes contemporary discourse, its role in directly influencing everyday Spanish language use appears limited. Our participants demonstrated a discerning approach to language adoption, selectively integrating social media slang into their conversations based on context and audience. This selective assimilation underscores the adaptive nature of language use, where individuals tailor their speech to suit specific social settings and relationships.

Our study sheds light on the complex dynamics of language evolution among Spanish speakers in the age of social media. While digital platforms offer a rich tapestry of linguistic innovation, the essence of language change remains deeply rooted in human interaction and social networks. Social media, therefore, serves more as a mirror reflecting ongoing linguistic shifts rather than the primary catalyst for change.

References

Alim, H. S. (2005). Hearing What’s Not Said and Missing What Is: Black Language in White Public Space

Cycyk, L. M., & De Anda, S. (2021). Media exposure and language experience: Examining associations from home observations in Mexican immigrant families in the US. Infant Behavior & Development, 63, 101554. https://doi.org/10.1016/j.infbeh.2021.101554

Gonçalves, B., & Sánchez, D. (2016). Learning about Spanish dialects through Twitter. Revista Internacional de Lingüística Iberoamericana, 14(2 (28)), 65–75. http://www.jstor.org/stable/26379776

Gottfried, J. (2024, January 31). Americans’ Social Media Use. Pew Research Center: Internet, Science & Tech. https://www.pewresearch.org/internet/2024/01/31/americans-social-media-use/

Kircher, Ruth, and Ethan Kutlu. “Multilingual Realities, Monolingual Ideologies: Social Media Representations of Spanish as a Heritage Language in the United States.” Applied Linguistics, vol. 44, no. 6, Jan. 2023, pp. 1077–99. https://doi.org/10.1093/applin/amac076.

Li, C., & Liu, J. (2017). Effects of using social networking sites in different languages: Does Spanish or English make a difference? Computers in Human Behavior, 74, 257–264. https://doi.org/10.1016/j.chb.2017.04.031

Majors, A. L. (2017) Social Media and Discourse: A Comparative Study of English and Spanish Apologies. LSU Master’s Theses. 4425.

Ramirez, N. J., Hippe, D. S., & Lindekugel, K. (2022). Electronic media and social features of language input in bilingually-raised Latinx infants. Infant Behavior and Development, 68, 101740, ISSN 0163-6383. https://doi.org/10.1016/j.infbeh.2022.101740.

language change, Slang, social media