Proceedings of the ICWSM Workshops

Workshop Proceedings of the 20th International
AAAI Conference on Web and Social Media

26 May, 2026, Los Angeles, CA, USA

Workshop Chairs
Kiran Garimella (Rutgers University)
Lisette Espín-Noboa (Complexity Science Hub Vienna)
Martin Saveski (University of Washington)

This issue of the ICWSM Workshop Proceedings contains papers published at the workshops held on May 26rd, 2026 at the 20th International AAAI Conference on Web and Social Media (ICWSM 2026).

Published: 2026-05-26

CySoc 2026: 7th International Workshop on Cyber Social Threats

ASTRO: Defining and identifying hostile behavior on GitHub
Ben Treves, Maya Treves, Michalis Faloutsos, Jeremy Blackburn, Emiliano De Cristofaro
Group-Differentiated Discourse on Generative AI in High School Education: A Case Study of Reddit Communities
Parth Gaba, Emiliano De Cristofaro
Cyber Social Threats to Federal Research Communication: Moral Framing in LLM-Generated Persuasion Attacks
Hsien-Te Kao, Aleksey Panasyuk, Peter Bautista, William Dupree, Gabriel Ganberg, Jeffrey M. Beaubien, Laura Cassani, Svitlana Volkova
The Trafficker’s Pitch: Detecting Deceptive Recruitment in Online Job Boards
Siyi Zhou, Peiran Qiu, Tanishq Salkar, Leonardo Blas, Dacheng Sheng, Deyang Hsu, Eun Cheol Choi, Emilio Ferrara
ClaimCheck: Real-Time Automatic Fact-Checking with Small Language Models
Akshith Reddy Putta, Jacob Devasier, Chengkai Li
Beyond Hate: Differentiating Uncivil and Intolerant Speech in Multimodal Content Moderation
Nils A. Herrmann, Tobias Eder, Jingyi He, Georg Groh
The Power of Social Norms: How Initial Responses to Toxicity Shape Conversations on Twitter
Ana Aleksandric, Mohit Singhal, Anne Groggel, Shirin Nilizadeh
Revealing Structural Influence in AI-Driven Recommendation Systems: A Weighted Focal Structure Analysis of YouTube Networks
Nitin Agarwal, Bishwa Prakash Subedi
Incorporating Relapse Rate into Epidemiological Models of Hate Speech Spread
Nitin Agarwal, Hakan Erdem
Cross-Lingual Threat Amplification and Generational Ancestry Shifts in Multilingual Crisis Discourse
Nitin Agarwal, Tope Christopher Falade
Network Analysis of Cyberbullying Interactions on Instagram
Satyaki Sikdar, Manuel Sandoval Madrigal, Taylor Hales, Chloe Kilroy, Maddie Juarez, Tyler Rosario, Juan J. Rosendo, Deborah L. Hall, Yasin N. Silva
Understanding Human-AI Collaborations: A Survey of Trust, Dependency, and Sociotechnical Risks
Md Foysal Ahmed, Md Main Uddin Rony, Divya S
“F*** You Biden”: Cross-Partisan Electoral Toxicity on X
Danishjeet Singh, Anindya Mondal, Filippo Menczer
Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions
Lei Cao, Wen Zeng, Xinyue Wu, Eun Cheol Choi, Emilio Ferrara

Digital Minds 2026:Assessing the interplay of social media on mental health

A Responsible LLM-RAG Social-Semantic Knowledge Graph Framework for Monitoring Youth Wellness and Vulnerabilities Across Multimodal Social Platforms
Cameron Hajaliloo, Antonio Coelho, Lanyu Shang, Junyuan Lin
AI Content Moderation in Therapy Conversations
Jiwon Kim, Claire Wang, Taeung Yoon, Sabelle Huang, Koustuv Saha
Multilingual Safety Is Model-Dependent: An Audit of Digital Mediation of Harm-Related AI Queries
Vivek Vaidya, Saubhagya Joshi, Vivek Singh
Are Gains Quiet and Losses Loud? Emotional Responses to Financial Booms and Crashes Online
Aryan Ramchandra Kapadia, Niharika Bhattacharjee, Mung Yao Jia, Ishq Gupta, Dong Wang, Koustuv Saha
Mental Health Discourse on TikTok: Interpreting Multimodal Short-Form Videos at Scale
Mingyue Zha, Ho-Chun Herbert Chang
Beyond Positive or Negative: How Mixed Emotions on Reddit Are Linked to Depressive Symptoms in Asian American Families
Sangpil Youm, Nari Yoo, Sou Hyun Jang, Bonnie Dorr
Exploring Mental Health Discourse on Nordic and Baltic Reddit: A Multilingual Computational Study
Aparup Khatua

MisD 2026: The 2nd Workshop on Misinformation Detection in the Era of LLMs

The 2nd Workshop on Misinformation Detection in the Era of LLMs (MisD 2026)
Zhiwei Liu, Yupeng Cao, Calvin Yixiang Cheng, Zhuohan Xie, Ye Yuan, Yankai Chen, Yuechen Jiang, Yuyan Wang, Peter Carragher, Jimin Huang, Xue Liu, Sophia Ananiadou
Are LLMs More Skeptical of Entertainment News?
Huiqian Lai
Cracking the Snowflake: Recovering Propagation Rhythms for Fake News Detection in the Post-API Era
Chiao-Yu Li, Divya Chaudhary
The Intent Gap in Disinformation Detection: Evidence from 84 Studies
Xinyu Wang, Brett Frischmann, Qianhui Dai, Sarah Rajtmajer
When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation
Anamta Khan, Ratna Kandala, Deepti, Sheza Munir, Joyojeet Pal
DTCD-AFC: Disaster-Type Classification Dataset designed for Automated Fact-Checking
Yasuhisa Okumura, Kenji Oki, Shinya Kitajima
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
Cuong Hoang, Le-Minh Nguyen
DeepTruth at the Financial Misinformation Detection Challenge: Chain-of-Thought Enhanced LLM for Financial Misinformation Detection
Runteng Guo
mfPE at the Financial Misinformation Detection Challenge Task: Multi-agent Framework Enhances the Performance of Prompt Engineering
Baojie Qu, Songhan Li, Zhiyu Jin, Minghui Wei
Coherence at the Financial Misinformation Detection Challenge Task: A Courtroom-Inspired Architecture for Reference-Free Verification
Pratyush Jha
AIsper at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Integrity Detection with Benign Controls and Semantic Ranking
Rahul Mehta, Nilesh Saini, Amandeep Chanyal, Shashank Sundi, Sudatt Kayal, Harsh Chauhan, Yadunath Gupta, Soudip Roy Chowdhury
PodChecker: An Interpretable Fact-Checking Companion for Podcasts
Anna Irmetova, Haoran Liu, Maria Teleki, Peter Carragher, Junyan Zhang, James Caverlee
M4Health: A Multi-Modal, Multi-Domain, Multi-Platform, and Multi-Task Benchmark for Video-Driven Health Communication on Social Media
Raihana Zahra, Zhenghao Gong, Owen Dewing, Nicholas Aurino, Thomas Rife, Cyrus Nikzad, Daniel Rowe, Junyuan Lin, Lanyu Shang
Health Misinformation Detection in Hidradenitis Suppurativa Communities Using Multi-Model LLM Ensembles
Jayasimha Shivanna, Shagun Saboo, Drashtiben Ankurbhai Bhavsar, Divya Chaudhary
The 2nd Workshop on Misinformation Detection in the Era of LLMs (MisD) shared task: Reference Free Financial Misinformation Detection
Yuechen Jiang, Yuyan Wang, Tianlei Zhu, Peter Carragher, Yixiang Zheng, Zhiwei Liu, Yupeng Cao, Jimin Huang, Sophia Ananiadou

First Workshop on Centering Social Perception in Natural Language Processing

LinguisticRedline: Uncovering Racial Bias in LLM Perceptions of Urban Crime Risk
Praveena Simhadri
Reading the Surface: Social Perception under Expressive Compression in AI-Assisted Communication
Ruoci Song
Human Trust and Perception of LLM-Generated Content
Amina Salifu, Matthew Cobbinah, Julius Adinkrah, Albert Dede, Lukman Kunveng, Khadija Ewonye Yakubu, Emmanuel Osei Owusu
Social Perception as Theory of Mind: Evidence from Annotator Disagreement in Sexism Detection
Diana Nurbakova
Motivation, Attention, and Visual Platform Design: How Moral Contagions Spread on TikTok and Instagram in the 2024 United States Presidential Election
Ni Annie Yuan, Ho-Chun Herbert Chang

SocialLLM: Large Language Models for Social Reasoning and Simulation