Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media (N18-2)
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| Challenge: | This study examines the use of Catalan on Twitter in discourse related to the 2017 independence referendum. |
| Approach: | They use code-switching to determine the role of Catalan in political discourse . they corroborate prior findings that pro-independence tweets are more likely to include the local language than anti-independent tweets . |
| Outcome: | The proposed method corroborates previous findings that pro-independence tweets are more likely to include the local language than anti-independent tweets. |
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| Challenge: | stance detection is a method to determine the attitude of a text with respect to a specific topic or claim. |
| Approach: | They propose a multilingual dataset for stance detection in Twitter for the Catalan and Spanish languages. |
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Navigating the Political Compass: Evaluating Multilingual LLMs across Languages and Nationalities (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) are ubiquitous in today’s technological landscape, boasting a plethora of applications, and even endangering human jobs in complex and creative fields. |
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Alignment, Acceptance, and Rejection of Group Identities in Online Political Discourse (N18-4)
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| Challenge: | linguistic alignment is a robust and robust form of communication accommodation, and has been detected in a variety of linguistic interactions, ranging from speed dates to the Supreme Court. |
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Native Language Identification with User Generated Content (D18-1)
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| Challenge: | Using both linguistically-motivated features and the characteristics of the social media outlet, we obtain high accuracy on this challenging task. |
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Semantics and Sentiment: Cross-lingual Variations in Emoji Use (2024.emnlp-main)
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| Challenge: | emojis have been used in social media for a decade but have been inconsistently used in contexts and in isolation. |
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Predicting Foreign Language Usage from English-Only Social Media Posts (N18-2)
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| Challenge: | Social media is known for its multi-cultural and multilingual interactions, a natural product of which is code-mixing. |
| Approach: | They analyze 6 million tweets produced by 27 thousand multilingual users speaking 12 other languages besides English to build predictive models to infer non-English languages users speak exclusively from their tweets. |
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A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event (2021.acl-srw)
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| Challenge: | construal level theory (CLT) uses concreteness as covariate to analyze language around political import events. |
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Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMs (2025.coling-main)
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| Challenge: | Language ideologies are evaluative ideas or beliefs about language, such as ideas about what is "correct", "natural" or "articulate". |
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Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings (N19-1)
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| Challenge: | a new framework for studying political polarization in social media is needed to understand how group divisions manifest in language. |
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Does Context Matter? A Prosodic Comparison of English and Spanish in Monolingual and Multilingual Discourse Settings (2025.emnlp-main)
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| Challenge: | a large number of studies on prosody in languages have focused on monolingual discourse contexts . a recent study focused on the prosodic features of monolingual speech in multilingual contexts. |
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