Social Media Analysis

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15 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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Latest papers 141

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Nobody Truly Agrees on Sentiment: Humans, Bespoke Tools, and LLMs Struggle with Social Media Texts
Oct 7, 2026Himarsha R. Jayanetti, Sivakanesan Dhanushkanda, Shuai Hao +2Sentiment Analysis Social Media Analysis
Old Dominion University, Norfolk, Virginia, USA
Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation Triage
Oct 5, 2026Ansh Gupta, Abhiram Gorle, Aayush Rajesh +1Social Media Analysis Time Series Forecasting
The Overlake School · Stanford University
Inductive Claims Extraction at Scale
Oct 4, 2026Sandrine Chausson, Björn RossSocial Media Analysis Argument Mining
University of Edinburgh
Explainable Suicide Risk Assessment on Social Media with Multi-Task QLoRA
Sep 30, 2026Xuan Zhong Feng, Geoffrey Martin, Hexin Dong +1Social Media Analysis Multi-Task Learning
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA · Systems Engineering, Cornell University, New York, NY, USA
Dissonant ballerinas and crafty carrots: a comparative multi-modal analysis of Italian brain rot
Sep 30, 2026Anca Dinu, Andra-Maria Florescu, Marius Micluta-Campeanu +3Social Media Analysis
University of Bucharest, Bd. Regina Elisabeta no. 4-12, Bucharest · Faculty of Foreign Languages and Literatures, Str. Edgar Quinet no. 5-7, Bucharest · Interdisciplinary School of Doctoral Studies, Bd. Mihail Kogălniceanu no. 36-46, Bucharest +1
Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse
Sep 29, 2026Annabelle K. L. Chua, Forster J. Khoo, Joel C. R. Tan +8Social Media Analysis Hate Speech Detection
DSO National Laboratories, 14 Science Park 118226, Singapore · Defence Science and Technology Agency, 1 Depot Road 109679, Singapore
Rethinking Multimodal Fake News Detection in the Generative AI Era
Sep 29, 2026Wenbin Shen, Guoxuan Qin, Guangxu Yao +3Social Media Analysis Fake News Detection
Nanjing University of Science and Technology, Nanjing, China · University of Chinese Academy of Sciences, Beijing, China
Agentic Detection of Online Conspiracies
Sep 24, 2026Lior Biton, Oren TsurSocial Media Analysis Pragmatic Reasoning in Language Models
Department of Computer and Information Science Ben-Gurion University of the Negev, Israel
Why Does Misinformation Propagate Faster? An Algorithmic Perspective on X
Sep 24, 2026Pan Li, Shuang GaoSocial Media Analysis Recommender Systems
Arizona State University
Count Evidence, Not Sentences: Tempered Evidence Fusion of LLM Judgments for Long-Text Value Measurement
Sep 22, 2026Yuhe Wu, Rui Qian, Guangyu Wang +10Social Media Analysis
HKUST(GZ) · FDU · DUFE +7
The Illinois Social Attitudes Aggregate Corpus (ISAAC): An Open Tool and Reproducible Pipeline for Analyzing Social Group Discourse at Scale
Sep 22, 2026Babak Hemmatian, Sarah Hadjarab, Jessica Chen +1Social Media Analysis Computational Social Science
AI Innovation Institute, Stony Brook University · Department of Political Science, University of Chicago · Department of Psychology, University of Illinois Urbana–Champaign +1
From Utterances to Networks: Modelling Slang Adoption and Diffusion Across Subreddits
Sep 22, 2026Xiaoning Wang, Ted Underwood, Zhewei SunSocial Media Analysis Computational Social Science
School of Information Sciences, University of Illinois Urbana-Champaign · Toyota Technological Institute at Chicago
CSC: Calibrated Simplicity for Conflict-Aware Social Bot Detection in the LLM Era
Sep 20, 2026Yipeng Qian, Pengjie Zhao, Chaoxi NiuSocial Media Analysis Probability Calibration
Minzu University of China Beijing, China · City University of Macau Macau, China
Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs
Sep 17, 2026Sagar Kumar, Lawrence Swaminathan Xavier Prince, Julia Mendelsohn +2Social Media Analysis
Network Science Institute, Northeastern University · Computational Health Informatics Program, Boston Children’s Hospital · College of Information, University of Maryland, College Park +4
Revisiting the Objective of Echo Chamber Detection
Sep 16, 2026Abylaikhan Bexeit, Kushani Perera, Shanika Karunasekera +1Social Media Analysis
CIS, The University of Melbourne
Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts
Sep 16, 2026Christopher Bagdon, Carina Silberer, Roman KlingerSocial Media Analysis Multimodal Emotion Recognition
Fundamentals of Natural Language Processing, University of Bamberg, Germany · Institut für Maschinelle Sprachverarbeitung, University of Stuttgart, Germany
Automated Identification of Competing Narratives in Political Discourse on Social Media
Sep 11, 2026Sergej Wildemann, Erick ElejaldeSocial Media Analysis Political Discourse Analysis
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany
Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour
Sep 3, 2026Huixiang Fu, Marian-Andrei RizoiuSocial Media Analysis Moral Reasoning
Behavioral Data Science, University of Technology Sydney
From Detection to Characterization: A Large-Scale Study of Ragebait on Japanese X
Sep 2, 2026Zhiyang Qi, Kazuhiro Ito, Jinghui Chen +5Social Media Analysis
Department of Systems Innovation, School of Engineering, The University of Tokyo
Ctrl-F-Resist. Practices, Challenges, and Technical Needs of Civil Society Organizations Monitoring the Far-Right Online
Sep 1, 2026Elisabeth Steffen, Helena MihaljevićSocial Media Analysis
Hochschule für Technik und Wirtschaft, University of Applied Science, Berlin, Germany · Technische Universität, Technical University, Berlin, Germany
Stigma and Support in Online Sexual Violence Narratives on Reddit
Aug 11, 2026Shirlene Rose Bandela, Karan Bindal, Vaibhav Garg +1Social Media Analysis Computational Social Science
Virginia Tech Alexandria, USA · Drexel University Philadelphia, USA
Multiclass Sentiment Analysis for Identifying Political Viewpoints
Aug 11, 2026Girma Yohannis Bade, Olga Kolesnikova, Jose Luis Oropeza +1Social Media Analysis Political Discourse Analysis
Centro de Investigaciones en Computación (CIC), Instituto Politécnico Nacional (IPN), Miguel Othon de Mendizabal, Ciudad de México, 07320, México
PERCEPT: A Corpus for POS Tagging and Analysis of Persian-English Code-Mixing
Aug 10, 2026Ghazal Kalhor, Zahra Jafari, Amirarsalan Shahbazi +1Social Media Analysis Code-Switching
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran · School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran · Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran
IMMENSE: Inductive Multi-perspective User Classification in Social Networks
Aug 5, 2026Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1Social Media Analysis Node Classification
Department of Computer Science, University of Bari, Via Orabona 4, Bari, 70125, Italy · Department of Computer Science, University of Pisa, Largo Bruno Pontecorvo 3, Pisa, 56127, Italy · Data Science Laboratory, National Interuniversity Consortium for Informatics (CINI), Via Volturno 58, Roma, 00185, Italy +1
Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections
Aug 4, 2026Aadit Barua, Leijie Wang, Amy X. ZhangSocial Media Analysis Recommender Systems
University of Washington Seattle, Washington, United States
MRAFnd: Multimodal Retrieval-Augmented Framework for Zero-Shot Fake News Detection
Aug 2, 2026Lehan Zhang, Yinlei Cheng, Shiqi Hu Yiheng Zhou +2Social Media Analysis Fake News Detection
Beijing Institute of Fashion Technology, Beijing, China · Shenyang University of Technology, Shenyang, China
Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media
Aug 2, 2026Boone Bowles, Raymond Duch, Sorin SorescuSocial Media Analysis Quantitative Finance
Mays Business School, Texas A&M University · Nuffield College, University of Oxford
When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media
Aug 2, 2026Roy Yitzchak, Noa Lavie, Ella RabinovichSocial Media Analysis Political Discourse Analysis
The Academic College of Tel-Aviv Yaffo, Israel
The methodology of Constructing the Large-Scale Dataset for Detecting Presuicidal and Anti-Suicidal Signals in Social Media Texts in Russian
Aug 1, 2026Igor Buyanov, Darya Yaskova, Danil Serenko +3Social Media Analysis Text Classification
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44, build. 2, Vavilova St, Moscow, 119333, Russia. · MTS AI, 23, build 5, Podsosenskiy lane, Moscow, 105062, Russia. · Yandex, 16, Lev Tolstoy St, Moscow, 119021, Russia. +2
Improving Mental Health Screening and Early Risk Detection in Spanish
Jul 30, 2026Andreu Casamayor-Segarra, Vicent Ahuir, Antonio Molina-Marco +1Social Media Analysis Mental Health
VRAIN: Valencian Research Institute for Artificial Intelligence Universitat Polit`ecnica de Val`encia Val`encia, Spain · VRAIN: Valencian Research Institute for Artificial Intelligence Universitat Polit`ecnica de Val`encia ValgrAI: Valencian Graduate School and Research Network of Artificial Intelligence Val`encia, Spain

Oct 7, 2026, cs.CLJ/K move · Enter open · S save

Nobody Truly Agrees on Sentiment: Humans, Bespoke Tools, and LLMs Struggle with Social Media Texts

Himarsha R. Jayanetti, Sivakanesan Dhanushkanda, Shuai Hao, Michael L. Nelson+1

Old Dominion University, Norfolk, Virginia, USA

Sentiment Analysis Social Media Analysis Inter-Rater Reliability LLM Evaluation

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Social media is a rich source of real-time public sentiment, but widely used sentiment analysis tools are often applied without understanding their limitations. In this study, we evaluate the inter-rater reliability of three bespoke sentiment analysis tools (TextBlob, VADER, and Twitter-roBERTa-base) and three large language models (LLMs: Qwen3-32B, GPT-OSS-120B, Llama-4-Maverick-17B) against six human raters across 100 tweets. We measured agreement using two statistical measures: Cohen's kappa for pairwise comparisons and Fleiss' kappa for multiple raters. Even among the human raters, our results showed only fair agreement, highlighting the subjectivity of sentiment analysis. Higher agreement was observed under the binary sentiment classification (negative vs. non-negative and positive vs. non-positive) than under the three-class classification across both humans and automated tools. The Twitter-roBERTa-base model showed the strongest alignment with human ratings, outperforming both bespoke sentiment tools and LLMs, particularly in distinguishing negative versus non-negative sentiment. LLMs showed substantial agreement among themselves and moderate to substantial alignment with humans, performing better in positive vs. non-positive classifications. Our findings underscore that domain-specific fine-tuning remains crucial for reliable social media sentiment analysis, and human-centered evaluation remains essential for establishing gold-standard labels.

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Latest papers 141