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title: "Workshop on Computational Approaches to Subjectivity,"
description: "All 53 papers of Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024, the most cited first…"
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# Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024: all accepted papers

53 papers · the most cited first · [← Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024](https://md.research.elamur.ai/free/en/venues/wassa/2024/)

1. **[LLaMA-Based Models for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/2024.wassa-1.6/)**Jakub Šmíd, Pavel Priban, Pavel Kral*18 citations*
2. **[Polarization of Autonomous Generative AI Agents Under Echo Chambers ↗](https://aclanthology.org/2024.wassa-1.10/)**Masaya Ohagi*14 citations*
3. **[The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models ↗](https://aclanthology.org/2024.wassa-1.12/)**Xiliang Zhu, Shayna Gardiner, Tere Roldán et al.*12 citations*
4. **[Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models ↗](https://aclanthology.org/2024.wassa-1.1/)**Kemal Kirtac, Guido Germano*10 citations*
5. **[MBIAS: Mitigating Bias in Large Language Models While Retaining Context ↗](https://aclanthology.org/2024.wassa-1.9/)**Shaina Raza, Ananya Raval, Veronica Chatrath*9 citations*
6. **[Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions ↗](https://aclanthology.org/2024.wassa-1.28/)**Neha Sharma, Kairit Sirts*4 citations*
7. **[Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping ↗](https://aclanthology.org/2024.wassa-1.53/)**Jinghui Zhang, Yuan Zhao, Siqin Zhang et al.*4 citations*
8. **[Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/2024.wassa-1.3/)**Zehong Yan, Wynne Hsu, Mong-Li Lee et al.*4 citations*
9. **[Subjectivity Detection in English News using Large Language Models](https://md.research.elamur.ai/free/en/papers/shokri-2024-subjectivity-detection-english-news-large/)**Mohammad Shokri, Vivek Sharma, Elena Filatova et al.*4 citations · our summary*
10. **[Cross-lingual Emotion Detection through Large Language Models ↗](https://aclanthology.org/2024.wassa-1.44/)**Ram Mohan Rao Kadiyala*3 citations*
11. **[Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions ↗](https://aclanthology.org/2024.wassa-1.30/)**Salvatore Giorgi, João Sedoc, Valentin Barriere et al.*3 citations*
12. **[Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ↗](https://aclanthology.org/2024.wassa-1.45/)**Yuqi Wang, Zimu Wang, Nijia Han et al.*3 citations*
13. **[POLygraph: Polish Fake News Dataset ↗](https://aclanthology.org/2024.wassa-1.20/)**Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński et al.*3 citations*
14. **[Subjectivity Theory vs. Speaker Intuitions: Explaining the Results of a Subjectivity Regressor Trained on Native Speaker Judgements ↗](https://aclanthology.org/2024.wassa-1.25/)**Elena Savinova, Jet Hoek*3 citations*
15. **[Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis ↗](https://aclanthology.org/2024.wassa-1.14/)**Aline Étienne, Delphine Battistelli, Gwénolé Lecorvé*2 citations*
16. **[LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma ↗](https://aclanthology.org/2024.wassa-1.27/)**Jana Juroš, Laura Majer, Jan Snajder*2 citations*
17. **[SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation ↗](https://aclanthology.org/2024.wassa-1.2/)**Barbara Gendron, Gaël Guibon*2 citations*
18. **[A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter ↗](https://aclanthology.org/2024.wassa-1.7/)**Dimosthenis Antypas, Alun Preece, Jose Camacho-Collados*1 citation*
19. **[A Systematic Analysis on the Temporal Generalization of Language Models in Social Media ↗](https://aclanthology.org/2024.wassa-1.5/)**Asahi Ushio, Jose Camacho-Collados*1 citation*
20. **[Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? ↗](https://aclanthology.org/2024.wassa-1.26/)**Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz et al.*1 citation*
21. **[Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection ↗](https://aclanthology.org/2024.wassa-1.33/)**Arda Numanoğlu, Süleyman Ateş, Nihan Cicekli et al.*1 citation*
22. **[Empaths at WASSA 2024 Empathy and Personality Shared Task: Turn-Level Empathy Prediction Using Psychological Indicators ↗](https://aclanthology.org/2024.wassa-1.35/)**Shaz Furniturewala, Kokil Jaidka*1 citation*
23. **[Entity-Level Sentiment: More than the Sum of Its Parts ↗](https://aclanthology.org/2024.wassa-1.8/)**Egil Rønningstad, Roman Klinger, Lilja Øvrelid et al.*1 citation*
24. **[Estimation of Happiness Changes through Longitudinal Analysis of Employees' Texts ↗](https://aclanthology.org/2024.wassa-1.24/)**Junko Hayashi, Kazuhiro Ito, Masae Manabe et al.*1 citation*
25. **[Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic ↗](https://aclanthology.org/2024.wassa-1.13/)**Silvan Wehrli, Chisom Ezekannagha, Georges Hattab et al.*1 citation*
26. **[RideKE: Leveraging Low-resource, User-generated Twitter Content for Sentiment and Emotion Detection in Kenyaǹ Code-switched Dataset ↗](https://aclanthology.org/2024.wassa-1.19/)**Naome A. Etori, Maria L. Gini*1 citation*
27. **[TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection ↗](https://aclanthology.org/2024.wassa-1.49/)**Long Cheng, Qihao Shao, Christine Zhao et al.*1 citation*
28. **[WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT ↗](https://aclanthology.org/2024.wassa-1.52/)**Jon Davenport, Keren Ruditsky, Anna Batra et al.*1 citation*
29. **[Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns ↗](https://aclanthology.org/2024.wassa-1.34/)**Liting Huang, Huizhi Liang*1 citation*
30. **[Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM's Prediction with Role-play Augmentation and Contrastive Reasoning Calibration ↗](https://aclanthology.org/2024.wassa-1.32/)**Tian Li, Nicolay Rusnachenko, Huizhi Liang
31. **[Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges ↗](https://aclanthology.org/2024.wassa-1.15/)**Pascale Feldkamp, Jan Kostkan, Ea Lindhardt Overgaard et al.
32. **[ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations ↗](https://aclanthology.org/2024.wassa-1.42/)**Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho
33. **[Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress ↗](https://aclanthology.org/2024.wassa-1.37/)**Rendi Chevi, Alham Aji
34. **[Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task ↗](https://aclanthology.org/2024.wassa-1.51/)**Yao-Fei Cheng, Jeongyeob Hong, Andrew Wang et al.
35. **[EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language ↗](https://aclanthology.org/2024.wassa-1.41/)**Gyeongeun Lee, Zhu Wang, Sathya N. Ravi et al.
36. **[Exploring Language Models to Analyze Market Demand Sentiments from News ↗](https://aclanthology.org/2024.wassa-1.21/)**Tirthankar Dasgupta, Manjira Sinha
37. **[Findings of the WASSA 2024 EXALT shared task on Explainability for Cross-Lingual Emotion in Tweets ↗](https://aclanthology.org/2024.wassa-1.43/)**Aaron Maladry, Pranaydeep Singh, Els Lefever
38. **[Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays ↗](https://aclanthology.org/2024.wassa-1.40/)**Raphael Frick, Martin Steinebach
39. **[HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection ↗](https://aclanthology.org/2024.wassa-1.46/)**Feng Xiong, Jun Wang, Geng Tu et al.
40. **[Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection ↗](https://aclanthology.org/2024.wassa-1.4/)**Johannes Schäfer, Ulrich Heid, Roman Klinger
41. **[Impact of Decoding Methods on Human Alignment of Conversational LLMs ↗](https://aclanthology.org/2024.wassa-1.22/)**Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma
42. **[Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ↗](https://aclanthology.org/2024.wassa-1.11/)**Piotr Przybyła, Euan McGill, Horacio Saggion
43. **[Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis ↗](https://aclanthology.org/2024.wassa-1.23/)**Naoya Fujikawa, Quang Toan Nguyen, Kazuhiro Ito et al.
44. **[Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines ↗](https://aclanthology.org/2024.wassa-1.18/)**Falwah Alhamed, Rebecca Bendayan, Julia Ive et al.
45. **[Multi-Target User Stance Discovery on Reddit ↗](https://aclanthology.org/2024.wassa-1.16/)**Benjamin Steel, Derek Ruths
46. **[NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach ↗](https://aclanthology.org/2024.wassa-1.36/)**Emmanuel Osei-Brefo, Huizhi Liang
47. **[NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection ↗](https://aclanthology.org/2024.wassa-1.50/)**Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou et al.
48. **[PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions ↗](https://aclanthology.org/2024.wassa-1.48/)**Jesús Vázquez-Osorio, Gerardo Sierra, Helena Gómez-Adorno et al.
49. **[RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress ↗](https://aclanthology.org/2024.wassa-1.31/)**Haein Kong, Seonghyeon Moon
50. **[To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction ↗](https://aclanthology.org/2024.wassa-1.29/)**Kemal Kurniawan, Meladel Mistica, Timothy Baldwin et al.
51. **[UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection ↗](https://aclanthology.org/2024.wassa-1.47/)**Jakub Šmíd, Pavel Přibáň, Pavel Král
52. **[WASSA 2024 Shared Task: Enhancing Emotional Intelligence with Prompts ↗](https://aclanthology.org/2024.wassa-1.38/)**Svetlana Churina, Preetika Verma, Suchismita Tripathy
53. **[hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns ↗](https://aclanthology.org/2024.wassa-1.39/)**Huiyu Yang, Liting Huang, Tian Li et al.
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