Social Media Analysis

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Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media
May 19, 2026Calvin Yixiang Cheng, Dorian Quelle, Scott A. HaleSocial Media Analysis
Oxford Internet Institute, University of Oxford, 1 St Giles’, Oxford, OX1 3JS, United Kingdom · Meedan, San Francisco, 94105, USA · Department of Mathematics, University of Zurich, Zurich, 8057, Switzerland
Algorithmic Cultivation: How Social Media Feeds Shape User Language
May 16, 2026Olivia Pal, Agam Goyal, Eshwar Chandrasekharan +1Social Media Analysis
University of Illinois Urbana-Champaign · Urbana, IL, USA
Explainable Detection of Depression Status Shifts from User Digital Traces
May 14, 2026Loris Belcastro, Francesco Gervino, Fabrizio Marozzo +2Social Media Analysis Depression Detection
DIMES, University of Calabria, Ponte P. Bucci 41/C, 87036 Rende, Italy
LLM-based Detection of Manipulative Political Narratives
May 14, 2026Sinclair Schneider, Florian Steuber, Gabi Dreo RodosekSocial Media Analysis Political Discourse Analysis
University of the Bundeswehr Munich Werner-Heisenberg-Weg 39, 85579 Neubiberg, Germany
Linking Scalar-Intensity Language to Structural Polarization with Validated Signed-Network Measures
May 12, 2026Zhijin Guo, Li Zhang, Tyler Bonnet +2Social Media Analysis
University of Oxford · University College London · Imperial College London
The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
May 12, 2026Gunjan, Sidahmed Benabderrahmane, Talal RahwanSocial Media Analysis LLM Auditing
New York University (NYUAD), Division of Science, Computer Science Department
FinMoji: A Framework for Emoji-driven Sentiment Analysis in Financial Social Media
May 10, 2026Ahmed Mahrous, Roberto Di PietroSocial Media Analysis Sentiment Analysis
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram
May 10, 2026Ahmed Mahrous, Roberto Di PietroSocial Media Analysis Named Entity Recognition
King Abdullah University of Science and Technology (KAUST) · Thuwal, Saudi Arabia
Cross-Cultural Transfer of Emoji Semantics and Sentiment in Financial Social Media
May 10, 2026Ahmed Mahrous, Roberto Di PietroSocial Media Analysis Sentiment Analysis
King Abdullah University of Science and Technology (KAUST)
Graph-Based Detection of Disinformation Narrative Diffusion between Russian and Ukrainian Telegram Channels
May 9, 2026Yuliia Vistak, Viktoriia Makovska, Vera Schmitt +1Social Media Analysis
Ukrainian Catholic University · Technische Universität Berlin
LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
May 8, 2026Jacob Ativo, Bharaneeshwar Balasubramaniyam, Anh Tran +4Social Media Analysis Semi-Supervised Learning
Department of Computer Science University of Illinois at Chicago
Hybrid TF--IDF Logistic Regression and MLP Neural Baseline for Indonesian Three-Class Sentiment Analysis on Social Media Text
May 8, 2026Allya Nurul Islami Pasha, Eka Fidiya Putri, Luluk Muthoharoh +2Social Media Analysis Logistic Regression
Faculty of Science · Institut Teknologi Sumatera · Faculty of Industrial Technology
YEZE at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization via Heterogeneous Ensembling
May 7, 2026Fengze Guo, Yue ChangSocial Media Analysis Text Classification
University of Tübingen
A Comparative Analysis of Machine Learning and Deep Learning Models for Tweet Sentiment Classification: A Case Study on the Sentiment140 Dataset
May 6, 2026Vita Anggraini, Cintya Bella, Bastian +3Social Media Analysis Sentiment Analysis
Faculty of Science · Faculty of Science[cs.CL]
Sentiment Analysis and Customer Satisfaction Prediction on E-Commerce Platforms Based on YouTube Comments Using the XGBoost Algorithm
May 6, 2026Ridho Benedictus Togi Manik, Muhammad Aqil Ramadhan, Ihsan Maulana Yusuf +3Social Media Analysis Sentiment Analysis
Department of Data Science Institut Teknologi Sumatera South Lampung, 35365, Indonesia · Department of Data Science Institut Teknologi Sumatera Lampung Selatan, 35365, Indonesia · Department of Data Science Institut Teknologi Sumatera Lampung Selatan, Indonesia +1
Mapping Discourse Reframing: A Multi-Layer Network Approach to Italian HPV Vaccine Discourse on X (2010-2024)
May 4, 2026Lorella ViolaSocial Media Analysis
Vrije Universiteit Amsterdam · De Boelelaan 1105, 1081 HV Amsterdam
Predicting Post Virality with Temporal Cross-Attention over Trend Signals
May 4, 2026Sarvagya Somvanshi, Mohan Xu, Rakhi Chadalavada +1Social Media Analysis
Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect
May 1, 2026Hua Zhao, Jiapei Gu, Michelle Mingyue GuSocial Media Analysis LLM Evaluation
Department of English Language Education, The Education University of Hong Kong · Analytics/Assessment Research Centre, The Education University of Hong Kong
Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media
May 1, 2026Scott Friedman, Ruta Wheelock, Sonja Schmer-Galunder +6Social Media Analysis Sentiment Analysis
SIFT, 319 N 1st Ave, Minneapolis, 55401, MN, USA. · Department of Computer & Information Science & Engineering, University of Florida, 432 Newell Drive, Gainesville, 32611, FL, USA. · Center for Information Systems & Technology, Claremont Graduate University, 150 E 10th St., Claremont, 91711, CA, USA. +1
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
May 1, 2026Ta Thanh Thuy, Jiaqi Zhu, Xuan Liu +6Social Media Analysis Heterogeneous GNNs
1Nanyang Technological University · 2NVIDIA · 3Nanjing University +3
From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
May 1, 2026Zihan Ding, Ziyuan Yang, Yi ZhangSocial Media Analysis Multimodal Classification
Sichuan University, Chengdu, Sichuan, China · Nanyang Technological University, Singapore
When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts
Apr 30, 2026Sydney Johns, Sanjeev Parthasarathy, Shantnu Bhalla +1Social Media Analysis
Virginia Polytechnic Institute and State University, Alexandria, Virginia, USA
ClimateVID -- Social Media Videos Analysis and Challenges Involved
Apr 30, 2026Shiqi Xu, Moritz Burmester, Katharina Prasse +3VLM Evaluation Social Media Analysis
University of Mannheim · Technical University of Munich · University of Mannheim, Max-Planck-Institute for Informatics, Saarland Informatics Campus
Emotion-Aware Clickbait Attack in Social Media
Apr 30, 2026Syed Mhamudul Hasan, Mohd. Farhan Israk Soumik, Abdur R. ShahidSocial Media Analysis Adversarial Text Attacks
Southern Illinois University Carbondale, IL, USA
Classification of Public Opinion on the Free Nutritional Meal Program on YouTube Media Using the LSTM Method
Apr 29, 2026Berliana Enda Putri, Lisa Diani Amelia, Muhammad Zaky Zaiddan +3Social Media Analysis Sentiment Analysis
Department of Data Science Institut Teknologi Sumatera Lampung Selatan, 35365, Indonesia · Department of Informatics Institut Teknologi Sumatera Lampung Selatan, 35365, Indonesia
OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction
Apr 29, 2026Liliang Ye, Guiyi Zeng, Yunyao Zhang +3Social Media Analysis
Huazhong University of Science and Technology · Wuhan, China · La Trobe University +1
HotComment: A Benchmark for Evaluating Popularity of Online Comments
Apr 28, 2026Yafeng Wu, Yunyao Zhang, Liliang Ye +4Social Media Analysis Multimodal Model Evaluation
Huazhong University of Science and Technology Wuhan, China · Beijing Institute of Computer Technology and Applications Beijing, China
Benchmarking PyCaret AutoML Against IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian IKN Twitter Data
Apr 28, 2026Mutia Alfi Mayzaroh, Dwi Fitria Ningsih, Nindi Destriani +1Social Media Analysis LLM Fine-Tuning
Institut Teknologi Sumatera Lampung Selatan, Indonesia
Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning
Apr 27, 2026Md All Shahria, Sanjeda Dewan Mithila, Touhid Alam +2Social Media Analysis
Dept. of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh · Dept. of Computer Science, Missouri State University, Springfield, Missouri, USA · Dept. of Mathematics, American International University-Bangladesh, Dhaka, Bangladesh
K-SENSE: A Knowledge-Guided Self-Augmented Encoder for Neuro-Semantic Evaluation of Mental Health Conditions on Social Media
Apr 26, 2026Vijay YadavSocial Media Analysis Knowledge Augmentation for Language Models
School of Psychology, University of New South Wales Sydney, Australia

May 19, 2026, cs.CLJ/K move · Enter open · S save

Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media

Calvin Yixiang Cheng, Dorian Quelle, Scott A. Hale

Oxford Internet Institute, University of Oxford, 1 St Giles’, Oxford, OX1 3JS, United Kingdom · Meedan, San Francisco, 94105, USA · Department of Mathematics, University of Zurich, Zurich, 8057, Switzerland

Social Media Analysis

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This study investigates how language mutations affect the persistent diffusion of conspiracy theories on social media. Drawing on a three-year dataset of conspiracy-related posts from X, and applying computational linguistic analysis alongside survival modelling, we find that conspiracy claims with greater semantic mutations have substantially longer lifespans. Mutations in psycholinguistic properties, including pronouns, social reference words, cognitive process terms, risk- and health- related vocabularies, are associated with extended lifespans. Mutations in actor, action and target (AAT) categories are associated with longer lifespans as well. Qualitative analysis identifies two predominant mutation patterns: simplification and assimilation, at both linguistic and AAT structural levels. Taken together, the results advance our understanding of how language mutations contribute to conspiracy persistence online and shed lights on longitudinal content moderation strategies. We argue that content moderation should consider the mutability of conspiracy claims and focus on the core claims that can address their potential variations.

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