--- title: "Workshop on Computational Approaches to Subjectivity" description: "Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026 — accepted papers: 15 papers in the…" canonical: "https://research.elamur.ai/free/en/venues/wassa/2026/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/wassa/2026/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Computational Approaches to…](https://md.research.elamur.ai/free/en/venues/wassa/) / 2026 # Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026 — accepted papers Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026 is the 2026 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in Rabat, Morocco, March 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 23 papers of it; our library holds 15 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 Rabat, [Morocco](https://md.research.elamur.ai/free/en/countries/morocco/) · 🗓 March 2026 [**23** papers in the proceedings](#all) · [**15** works in our library](https://md.research.elamur.ai/free/en/venues/wassa/2026/#works) · [**4** citations of these works](https://md.research.elamur.ai/free/en/venues/wassa/2026/#works) ## All accepted papers (23) The most cited first; 15 with our summary link to their page here, the others to the original. 1. **[Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents](https://md.research.elamur.ai/free/en/papers/monfared-2026-label-consistent-data-generation-aspect/)**Mohammad Hossein Akbari Monfared, Lucie Flek, Akbar Karimi*1 citation · our summary* 2. **[A Multi-Aspect Evaluation Framework for Synthetic Data: Case Study on Irony and Sarcasm ↗](https://aclanthology.org/2026.wassa-1.23/)**Laura Majer, Ana Barić, Florijan Sandalj et al. 3. **[A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes](https://md.research.elamur.ai/free/en/papers/schouten-2026-position-paper-toxic-reasoning-grounding/)**Stefan F. Schouten, Ilia Markov, Piek Vossen*our summary* 4. **[A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection ↗](https://aclanthology.org/2026.wassa-1.21/)**Ximing Wen, Rezvaneh Rezapour 5. **[Antisocial Behavior Prediction: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/ollagnier-2026-antisocial-behavior-prediction-survey-practical/)**Anaïs Ollagnier*our summary* 6. **[Appraisal Trajectories in Narratives Reveal Distinct Patterns of Emotion Evocation](https://md.research.elamur.ai/free/en/papers/schafer-2026-appraisal-trajectories-narratives-reveal-distinct/)**Johannes Schäfer, Janne Wagner, Roman Klinger*our summary* 7. **[Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda](https://md.research.elamur.ai/free/en/papers/sharma-2026-council-llms-evaluating-capability-large/)**Vivek Sharma, Shweta Jain, Mohammad Shokri et al.*our summary* 8. **[Crowd-Based Evaluation of Emotion Intensity Preservation in Spanish–Basque Tweet Machine Translation ↗](https://aclanthology.org/2026.wassa-1.11/)**Nora Aranberri 9. **[Disentangling Emotion Understanding and Generation in Large Language Models ↗](https://aclanthology.org/2026.wassa-1.14/)**Sadegh Jafari, Els Lefever, Veronique Hoste 10. **[Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance](https://md.research.elamur.ai/free/en/papers/tardelli-2026-emoji-reactions-telegram-unreliable-indicators/)**Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima et al.*our summary* 11. **[Emotion-aware text simplification of user generated content using LLMs ↗](https://aclanthology.org/2026.wassa-1.10/)**Anastasiia Bezobrazova, Daria Sokova, Constantin Orasan 12. **[Emotional Lexicons: How Large Language Models Predict Emotional Ratings of Russian Words ↗](https://aclanthology.org/2026.wassa-1.9/)**Polina V. Iaroshenko, Natalia V Loukachevitch 13. **[Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/rooein-2026-exploring-subjective-tasks-farsi-survey/)**Donya Rooein, Flor Miriam Plaza-del-Arco, Debora Nozza et al.*our summary* 14. **[Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors](https://md.research.elamur.ai/free/en/papers/lyngbaek-2026-is-sentiment-banana-shaped-exploring/)**Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni et al.*our summary* 15. **[Measuring LLMs' Sensitivity to Paraphrased Opinion Prompts ↗](https://aclanthology.org/2026.wassa-1.5/)**Bushra Alhetelah, Irfan Ahmad 16. **[Multimodal Claim Extraction for Fact-Checking](https://md.research.elamur.ai/free/en/papers/teo-2026-multimodal-claim-extraction-fact-checking/)**Joycelyn Teo, Rui Cao, Zhenyun Deng et al.*our summary* 17. **[News Credibility Assessment by LLMs and Humans: Implications for Political Bias](https://md.research.elamur.ai/free/en/papers/neves-2026-news-credibility-assessment-llms-humans/)**Pia Wenzel Neves, Charlott Jakob, Vera Schmitt*our summary* 18. **[Predicting Convincingness in Political Speech: How Emotional Tone Shapes Persuasive Strength](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-convincingness-political-speech-how/)**Bhuvanesh Verma, Mounika Marreddy, Alexander Mehler*our summary* 19. **[Quantifying Social Sentiment in Hostels Using A Domain-Specific Transformer Pipeline](https://md.research.elamur.ai/free/en/papers/mcmurry-2026-quantifying-social-sentiment-hostels-domain/)**Ian W. McMurry*our summary* 20. **[Real-Time Mitigation of Negative Emotion in Customer Care Calls ↗](https://aclanthology.org/2026.wassa-1.19/)**Surupendu Gangopadhyay, Mahnoosh Mehrabani 21. **[Says Who? Argument Convincingness and Reader Stance Are Correlated with Perceived Author Personality](https://md.research.elamur.ai/free/en/papers/weber-2026-says-who-argument-convincingness-reader/)**Sabine Weber, Lynn Greschner, Roman Klinger*our summary* 22. **[The Impact of Highlighting Subjective Language on Perceived News Trustworthiness](https://md.research.elamur.ai/free/en/papers/shokri-2026-impact-highlighting-subjective-language-perceived/)**Mohammad Shokri, Vivek Sharma, Emily Klapper et al.*our summary* 23. **[Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction](https://md.research.elamur.ai/free/en/papers/schwager-2026-simulating-social-media-users-llms/)**Nils Schwager, Simon Münker, Alistair Plum et al.*our summary* ## Papers with our summary in our library (15) The most cited first (OpenAlex citations plus our library's). 1. **[Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents](https://md.research.elamur.ai/free/en/papers/monfared-2026-label-consistent-data-generation-aspect/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Mohammad Hossein Akbari Monfared, Lucie Flek, Akbar Karimi*2026 · 1 citation* 2. **[Antisocial Behavior Prediction: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/ollagnier-2026-antisocial-behavior-prediction-survey-practical/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Anaïs Ollagnier*2026 · 1 citation* 3. **[Appraisal Trajectories in Narratives Reveal Distinct Patterns of Emotion Evocation](https://md.research.elamur.ai/free/en/papers/schafer-2026-appraisal-trajectories-narratives-reveal-distinct/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Johannes Schäfer, Janne Wagner, Roman Klinger*2026 · 1 citation* 4. **[Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction](https://md.research.elamur.ai/free/en/papers/schwager-2026-simulating-social-media-users-llms/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Nils Schwager, Simon Münker, Alistair Plum, et al.*2026 · 1 citation* 5. **[Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors](https://md.research.elamur.ai/free/en/papers/lyngbaek-2026-is-sentiment-banana-shaped-exploring/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni, et al.*2026* 6. **[Quantifying Social Sentiment in Hostels Using A Domain-Specific Transformer Pipeline](https://md.research.elamur.ai/free/en/papers/mcmurry-2026-quantifying-social-sentiment-hostels-domain/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Ian W. McMurry*2026* 7. **[News Credibility Assessment by LLMs and Humans: Implications for Political Bias](https://md.research.elamur.ai/free/en/papers/neves-2026-news-credibility-assessment-llms-humans/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Pia Wenzel Neves, Charlott Jakob, Vera Schmitt*2026* 8. **[Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/rooein-2026-exploring-subjective-tasks-farsi-survey/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Donya Rooein, Flor Miriam Plaza-del-Arco, Debora Nozza, et al.*2026* 9. **[A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes](https://md.research.elamur.ai/free/en/papers/schouten-2026-position-paper-toxic-reasoning-grounding/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Stefan F. Schouten, Ilia Markov, Piek Vossen*2026* 10. **[Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda](https://md.research.elamur.ai/free/en/papers/sharma-2026-council-llms-evaluating-capability-large/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Vivek Sharma, Shweta Jain, Mohammad Shokri, et al.*2026* 11. **[The Impact of Highlighting Subjective Language on Perceived News Trustworthiness](https://md.research.elamur.ai/free/en/papers/shokri-2026-impact-highlighting-subjective-language-perceived/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Mohammad Shokri, Vivek Sharma, Emily Klapper, et al.*2026* 12. **[Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance](https://md.research.elamur.ai/free/en/papers/tardelli-2026-emoji-reactions-telegram-unreliable-indicators/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima, et al.*2026* 13. **[Multimodal Claim Extraction for Fact-Checking](https://md.research.elamur.ai/free/en/papers/teo-2026-multimodal-claim-extraction-fact-checking/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Joycelyn Teo, Rui Cao, Zhenyun Deng, et al.*2026* 14. **[Predicting Convincingness in Political Speech: How Emotional Tone Shapes Persuasive Strength](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-convincingness-political-speech-how/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Bhuvanesh Verma, Mounika Marreddy, Alexander Mehler*2026* 15. **[Says Who? Argument Convincingness and Reader Stance Are Correlated with Perceived Author Personality](https://md.research.elamur.ai/free/en/papers/weber-2026-says-who-argument-convincingness-reader/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Sabine Weber, Lynn Greschner, Roman Klinger*2026* ## Top topics Topics of its works in our library, with the number of works on each. [Sentiment & emotion (6)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Bias, fairness & safety (2)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Fields [Computer Science (13)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (7)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (6)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (6)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Roman Klinger**2 works here · 1 citation](https://md.research.elamur.ai/free/en/authors/roman-klinger/) · [🧑‍🔬**Elena Filatova**2 works here](https://md.research.elamur.ai/free/en/authors/elena-filatova/) · [🧑‍🔬**Mohammad Shokri**2 works here](https://md.research.elamur.ai/free/en/authors/mohammad-shokri/) · [🧑‍🔬**Sarah Ita Levitan**2 works here](https://md.research.elamur.ai/free/en/authors/sarah-ita-levitan/) · [🧑‍🔬**Shweta Jain**2 works here](https://md.research.elamur.ai/free/en/authors/shweta-jain/) · [🧑‍🔬**Vivek Sharma**2 works here](https://md.research.elamur.ai/free/en/authors/vivek-sharma/) · [🧑‍🔬**Achim Rettinger**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/achim-rettinger/) · [🧑‍🔬**Akbar Karimi**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/akbar-karimi/) · [🧑‍🔬**Alistair Plum**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/alistair-plum/) · [🧑‍🔬**Anais Ollagnier**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/anais-ollagnier/) · [🧑‍🔬**Lucie Flek**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/lucie-flek/) · [🧑‍🔬**Nils Schwager**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/nils-schwager/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**The Graduate Center, CUNY** New York · United States 2 works here](https://md.research.elamur.ai/free/en/universities/the-graduate-center-cuny/) · [🎓**Hunter College** New York · United States 2 works here](https://md.research.elamur.ai/free/en/universities/hunter-college/) · [🎓**New York City College of Technology** Brooklyn · United States 2 works here](https://md.research.elamur.ai/free/en/universities/new-york-city-college-of-technology/) · [🎓**John Jay College of Criminal Justice** New York · United States 2 works here](https://md.research.elamur.ai/free/en/universities/john-jay-college-of-criminal-justice/) · [🎓**University of Bamberg** Bamberg · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-bamberg/) · [🎓**University of Pisa** Pisa · Italy 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-pisa/) · [🎓**Leiden University** Leiden · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/leiden-university/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 1 work here](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🎓**University of Bonn** Bonn · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-bonn/) · [🎓**Queen Mary University of London** London · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · [🎓**City University of New York** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/city-university-of-new-york/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024](https://md.research.elamur.ai/free/en/venues/wassa/2024/) - [↑ back to Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)