Social Media Analysis

Ask about this topic

Overview

The field examines how people communicate and organize online, using text, images, video, user activity, and interaction networks. Common approaches include sentiment and stance classification, topic modeling, graph analysis, multimodal machine learning, and large language models. Researchers apply these methods to questions such as misinformation spread, political polarization, mental health, moderation, and audience engagement across platforms and events. A central challenge is ensuring that labels and models capture context, language, and platform differences well enough to support reliable conclusions about people and society.

Latest papers

CardsList

222 papers30 papers in the last four weeks, up 36% on the four weeks before. 0.2% of all new papers.

  1. Making Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu

    Oct 27, 2026Zhiyi Zhou, Kyrie ZhouCausal AttributionSocial Media Analysis

    University of Washington, Seattle, Washington, USA · University of Texas at San Antonio, San Antonio, Texas, USA

  2. MATCHA: A Chinese Multi-Disorder Mental Health Dataset with Cross-Lingual Analyses on Social Media

    Oct 26, 2026Bingrui Jin, Baihan Li, Zitong Li +4Mental HealthSocial Media Analysis

    Shanghai Jiao Tong University, Shanghai, China · University of Texas at Arlington, Arlington, TX, USA

  3. AskGLP1: A Knowledge Graph LLM Agent for Exploring GLP-1 Experience from Online Patient Narratives

    Oct 26, 2026Zhaoqian Xue, Anay Somani, Siddhartha Singh +10Clinical Information ExtractionBiomedical KGs

    University of Arizona · University of California, Irvine · University of Illinois Urbana-Champaign +4

  4. Social-HUMINT: An LLM-Augmented Unified Framework for Measuring Social Media Exposure

    Oct 22, 2026Pellegrino Casoria, Simon Pietro RomanoSocial Media AnalysisCyber Threat Intelligence

    University of Naples Federico II, Department of Electrical Engineering and Information Technology (DIETI), Naples, Italy

  5. From Perpetrators' Digital Footprints to Behavioral Communities: An Ontology-Driven Framework for Bengali Cyberbullying Analysis--- FULL VERSION

    Oct 22, 2026Md. Nesarul Hoque, Md Hanif Seddiqui, Miskatul Anwar +1Social Media AnalysisSocial Network Analysis

    Big Data, Information and Knowledge Engineering Lab, Department of Computer Science and Engineering, University of Chittagong, Chattogram, 4331, Bangladesh · Department of Computer Science and Engineering, Gopalganj Science and Technology University, Gopalganj, 8105, Bangladesh

  6. X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition

    Oct 21, 2026Olivia Pal, Yunhao Yuan, Meghana Mandava +3Mental HealthSocial Media Analysis

    University of Illinois Urbana-Champaign, Urbana, IL, USA · Aalto University, Espoo, Finland

  7. Beyond a Single Sentiment Score: Topical and Affective Dimensions of Emoji Meaning on Twitter

    Oct 20, 2026Rohan James, Ioannis Christofilogiannis, Yuuv Jauhari +2Social Media AnalysisSentiment Analysis

    School of Computer Science and Statistics Trinity College Dublin, Ireland

  8. Where Does Rhetorical Distortion Live? A Multi-Platform, Multi-Language Measurement of Influencer Content

    Oct 19, 2026Xucheng Yu, Jiangping Chen, Haohan WangSocial Media Analysis

    University of Illinois Urbana-Champaign Champaign, Illinois, USA

  9. Lightweight Machine Learning for Classifying Disaster-Related Social Media Posts

    Oct 17, 2026Chengjun Jiang, Milena RadenkovicText ClassificationSocial Media Analysis

    School of Computer Science, University of Nottingham

  10. Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence

    Oct 15, 2026Andrea Piras, Osman Rahmoun, Elena ZhelevaPolitical CommunicationPolitical Discourse Analysis

    Department of Computer Science, University of Illinois Chicago, Chicago, USA

  11. High prevalence of antagonizing rhetoric in trending topics on Twitter/X

    Oct 15, 2026Armin Pournaki, Eckehard OlbrichPolitical Discourse AnalysisPolitical Communication

    Institute of Sociology, University of Bern, Bern, Switzerland · Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany · médialab, SciencesPo, Paris, France

  12. Identifying Effective Strategies in Prompt Evolution for Stress and Emotion Prediction

    Oct 15, 2026SeungHyun Yi, Seungjun Yi, Sriram Sattiraju +12LLM PromptingEmotion Recognition

    Department of Computer Science, Kyung Hee University, Yongin, South Korea · Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, USA · Department of Computer Science, University of Texas at Austin, Austin, TX, USA +9

  13. GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria

    Oct 13, 2026Luise Koch, Manuel Tonneau, Niyati Malhotra +5Social Media AnalysisStance Detection

    World Bank · Technical University of Munich · University of Oxford +2

  14. Assessing the Performance of AI Models in Misinformation Detection Using Predefined Social Noise Constructs

    Oct 12, 2026Manar AlsaidFake News DetectionSocial Media Analysis

    East Texas A&M University, Department of Computer Science and Information Systems, Commerce, Texas, USA

  15. Predicting Mental Health Help-Seeking Behaviour on Reddit: A Survival Analysis of Linguistic and Behavioural Signals

    Oct 12, 2026Nisar Ahmed, Ammara Kazmi, Irtaza Bashir Raja +1Mental HealthSocial Media Analysis

    Department of Computer and Information Sciences, University of Strathclyde, Glasgow, UK · Department of Computer Science, Sir Syed CASE Institute of Technology, Islamabad, Pakistan · Department of Engineering Management, NUST, Rawalpindi, Pakistan

  16. Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment

    Oct 12, 2026Asad Ikram, Ella HaigSocial Media AnalysisPsychometric Validation

    Independent researcher. · School of Computing, Mathematics & Physics, University of Portsmouth, UK

  17. PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation

    Oct 10, 2026Wenji Zhang, Xilong Cheng, Yunxiao Qin +8Human Behavior SimulationLarge Language Model-Based Social Simulation

    Communication University of China, China · State Key Laboratory of Media Convergence and Communication, China

  18. BenCoDiC: A Large-Scale Contextual Cyberbullying Corpus for Bengali Political News Discourse FULL VERSION

    Oct 9, 2026Md. Nesarul Hoque, Rudra Pratap Deb Nath, Umme Salma +2Bengali NLPSocial Media Analysis

    Big Data, Information and Knowledge Engineering Lab, Department of Computer Science and Engineering, University of Chittagong, Chattogram-4331, Bangladesh · Department of Computer Science and Engineering, Gopalganj Science and Technology University, Gopalganj-8105, Bangladesh · Department of Computer Science and Engineering, Bangladesh University, Dhaka-1207, Bangladesh

  19. 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 AnalysisSocial Media Analysis

    Old Dominion University, Norfolk, Virginia, USA

  20. Measuring climate backlash in Twitter and Reddit archives: Lexical definitions, recorded responses and participant turnover

    Oct 6, 2026Wentao XuSocial Media AnalysisComputational Social Science

  21. 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 AnalysisTime Series Forecasting

    The Overlake School · Stanford University

  22. Inductive Claims Extraction at Scale

    Oct 4, 2026Sandrine Chausson, Björn RossSocial Media AnalysisArgument Mining

    University of Edinburgh

  23. How Do People Challenge Racial Stereotypes Online? Counter-Story Detection Across Reddit Communities

    Oct 3, 2026Uma Sushmitha Gunturi, Jimin Mun, Maarten Sap +1Social Media AnalysisComputational Social Science

    IBM · Carnegie Mellon University · University of Colorado Boulder

  24. Ideological Stance Detection in a Low-Resource Language: Polarization in Bangladeshi Public vs Private University Discourse on Social Media

    Oct 3, 2026Safaruzzaman Shovo, Monowar Islam, Asif Hossain +2Stance DetectionSocial Media Analysis

    Department of Computer Science and Engineering, Faridpur Engineering College, Faridpur, Bangladesh

  25. BAIBAICHUCHU at the NTCIR-19 FinArg-3 Task: When Is Maximum Possible Profit Predictable from Investor Text?

    Oct 2, 2026Zong-Han Bai, Po-Yen ChuFinancial ForecastingLearning to Rank

    National Tsing Hua University Hsinchu, Taiwan · Stanford University Stanford, CA, USA

  26. StanceEval 2026: The Second Stance Detection Shared Task

    Oct 2, 2026Rasha Albalawi, Nuha Albadi, Hamzah Luqman +6Stance DetectionCross-Domain Generalization

    Information and Computer Science Department, KFUPM, Saudi Arabia · SDAIA–KFUPM Joint Research Center for Artificial Intelligence, Saudi Arabia · HUMAIN, Saudi Arabia

  27. Social bot detection in the age of ChatGPT: Challenges and opportunities

    Oct 1, 2026Emilio FerraraSocial Bot DetectionSocial Media Analysis

  28. Explainable Suicide Risk Assessment on Social Media with Multi-Task QLoRA

    Sep 30, 2026Xuan Zhong Feng, Geoffrey Martin, Hexin Dong +1Social Media AnalysisMulti-Task Learning

    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA · Systems Engineering, Cornell University, New York, NY, USA

  29. 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

  30. Beyond Risk Prediction: Evidence Grounding and Psychosocial Factor Verification for Explainable Suicide Risk Assessment

    Sep 30, 2026Tianle Hu, Chen Peng, Yi-Hsin Tsai +3Suicide Risk ModelingSocial Media Analysis

    Department of Information, Artificial Intelligence and Data Science Daiichi Institute of Technology Tokyo, Japan · Research and Development of Collaborative Educational Practices Graduate School of Education Tokyo Gakugei University Tokyo, Japan