Proceedings of the ICWSM Workshops

Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media

23 June, 2025, Copenhagen, Denmark

Workshop Chairs
Luca Rossi (University of Copenhagen)
Shruti Padke (Drexel University)
Akhil Arora (Aarhus University)

This issue of the ICWSM Workshop Proceedings contains papers published at the workshops held on June 23rd, 2025 at the 19th International AAAI Conference on Web and Social Media (ICWSM 2025).

Published: 2025-06-05

Workshop on Data for the Wellbeing of Most Vulnerable

Computationally Establishing Causality: The Impact of Demographic Minorities on Bias in Opinion Diffusion Models
Michalina Janik, Radosław Michalski, Akhil Arora
EDTok: A Dataset for Eating Disorder Content on TikTok
Charles Bickham, Bryan Ramirez-Gonzalez, Minh Duc Chu, Kristina Lerman, Emilio Ferrara
A Multimodal TikTok Dataset of Ecuador's 2024 Political Crisis and Organized Crime Discourse
Gabriela Pinto, Emilio Ferrara
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation
Theophilus Aidoo, Till Koebe, Akansh Maurya, Hewan Shrestha, Ingmar Weber
Mapping Labor Market Vulnerability in the Age of AI: Evidence from Job Postings and Patent Data
Eun Cheol Choi, Qingyu Cao, Qi Guan, Shengzhu Peng, Po-Yuan Chen, Luca Luceri
Coverage Biases in High-Resolution Satellite Imagery
Vadim Musienko, Axel Jacquet, Ingmar Weber, Till Koebe

COMPASS 2025: The 1st international Workshop on Computational Approaches to Content Moderation and Platform Governance

Real Name, Real Face, Real Talk? Anonymity and Toxicity on Mastodon
Krzysztof Wójcik, Li Zeng, Sijia Ma
A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election
Gautam Kishore Shahi, Benedetta Tessa, Amaury Trujillo, Stefano Cresci
TikTok Search Recommendations: Governance and Research Challenges
Taylor Annabell, Robert Gorwa, Rebecca Scharlach, Jacob van de Kerkhof, Thales Bertaglia
Mapping the Scientific Literature on Misinformation Interventions: A Bibliometric Review
Catherine King, Peter Carragher, Kathleen M. Carley

CySoc 2025: 6th International Workshop on Cyber Social Threats

Navigating Hate Speech: Bridging LLMs and Human Expertise in Public Officials’ Online Communication
Nitheesha Nakka, Isaac Pollert, Lingyu Fuca, Cassandra Tai
Evaluating Counter-Argument Strategies for Logical Fallacies: An Agent-Based Analysis of Persuasiveness and Polarization
Keisuke Toyoda, Tomoki Fukuma, Koki Noda, Kyosuke Kambe, Yu Masubuchi, Hiroshi Someda, Fujio Toriumi
“We’re watching for cheating”: The Role of Visual Media in a U.S. Election Online Rumoring Campaign
Kristen Engel, Ashlyn Aske, Kayla Duskin, Sukrit Venkatagiri, Emma Spiro
Gender Inequalities in Content Collaborations: Asymmetric Creator Synergyand Symmetric Audience Biases
Mingyue Zha, Herbert Chang
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X
Ashwin Balasubramanian, Vito Zou, Hitesh Narayana, Christina You, Luca Luceri, Emilio Ferrara
PRISM: Perceptual Recognition for Identifying Standout Moments in Human-Centric Keyframe Extraction
Mert Can Cakmak, Nitin Agarwal, Diwash Poudel
StressSGCL: A Stress-Specific Embeddings Learning Approach using Contrastive Learning over Skip-Gram Model
Muhammad Abulaish, Rumjot Kaur, Amit Kumar Sah
Mapping Hate and Extremism: How Brazilian Reddit Communities Spread Toxic Discourse
Pedro Bento, Yan Aquino, Arthur Buzelin, Pedro Robles Dutenhefner, Arthur Chagas, Victoria Estanislau, Lucas Dayrell, Samira Malaquias, Caio Santana, Marcelo Sartori Locatelli, Gisele L. Pappa, Wagner Meira Jr., Virgilio Almeida
Investigating Coordinated Inauthentic Behavior on Alternative Platforms During the 2024 U.S. Election
Carlo Colizzi, Antonio Alessio Della Sala, Giuseppe Fenza, Lukasz Gajewski
Towards Protecting Youth from Mis- and Disinformation
Matteo Große-Kampmann, Omed Abed
The Viral Nature of Symbols: Epidemiological Modeling of Visual Elements in Digital Information Campaigns
Sayantan Bhattacharya, Nitin Agarwal, Diwash Poudel

MisD 2025: 1st Workshop on Misinformation Detection in the Era of LLMs

The 1st Workshop on Misinformation Detection in the Era of LLMs (MisD 2025)
Zhiwei Liu, Christine de Kock, Peter Knight, Eduard Hovy, Sophia Ananiadou
Checklist-Prompted Feature Extraction for Interpretable and Robust Fact Check Worthiness Prediction
Yuka Teramoto, Takahiro Komamizu, Mitsunori Matsushita, Kenji Hatano
Multi-agent Systems for Misinformation Lifecycle: Detection, Correction And Source Identification
Aditya Gautam
From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling
Vahid Rahimzadeh, Ali Hamzehpour, Azadeh Shakery, Masoud Asadpour
Towards a Multi-modal Multi-Label Election-Context Repository for Classifying Misinformation
Prerana Khatiwada, Qile Wang, Kenneth E. Barner, Matthew Louis Mauriello
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language Models
Peter Carragher, Nikitha Rao, Abhinand Jha, R Raghav, Kathleen M. Carley
An Analytical Emotion Framework of Rumour Threads on Social Media
Rui Xing, Boyang Sun, Kun Zhang, Preslav Nakov, Timothy Baldwin, Jey Han Lau
Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection
Nursulu Sagimbayeva, Ruveyda Betül Bahçeci, Ingmar Weber

NLPSI 2025: First Workshop on Integrating NLP and Psychology to Study Social Interactions

Simulating Persuasive Dialogues on Meat Reduction with Generative Agents
Georg Ahnert, Elena Wurth, Markus Strohmaier, Jutta Mata
Automatically Coding Implicit Motives in Picture Story Exercises: The Automated Motive Coder
Max Brede, Felix Schönbrodt, Birk Hagemeyer, Veronika Lerche
What Does it Take to Effectively Communicate Fact Checking Results?
Amelie Wuehrl
Lexpansion: Evaluating Dictionary Based Lexicon Expansion for Social Media Analysis
Mohamed Bahgat, Steven R Wilson, Walid Magdy
Explicit Cooperation Shapes Human-Like Multi-agent LLM Negotiation
Yanru Jiang, Gülşah Akçakır
Scaling Implicature via Structured Interaction in Multi-Agent LLMs
Harvey Bonmu Ku
Basic Psychological Need Fulfillment in AI-Mediated Communication: A Case for Self-Determination Theory Application in NLP
Eileen Wemmer, Carsten Röcker
Assessing Perspective-Taking in Texts: Inspirations for Analytical Targets from Socio-Cognitive Narrative Coding Schemes
Paul Compensis
A Hybrid Theory and Data-driven Approach to Persuasion Detection with Large Language Models
Gia Bao Hoang, Keith J Ransom, Rachel Stephens, Carolyn Semmler, Nicolas Fay, Lewis Mitchell
The Utility of LLM Text Generation in Longitudinal Psychological Datasets
Jari Zegers, Bennett Kleinberg

DETOX: countering the degradation of social media

Towards intersectional fairness in community detection
Georgios Panayiotou, Matteo Magnani,Ece Calikus
Private Sharing of Public Content on Facebook
Kiran Garimella

Next-Generation and Alternative Social Media 2025

Partitioned Realities: How Next Generation Social Media Platforms Shape Competing Narratives of “Truth”
Mao Li, Xinyi Chen
Data Ethics in the Fediverse: Analyzing the Role of Instance Policies in Mastodon Research
Mareike Lisker, Helena Mihaljević
What rules are we following in Decentralized Networks? Privacy Policies, Instance rules and descriptions in Mastodon
Shrushti Kaul, Mehmet S. Aktas, Mirela Riveni
Sentiment Dynamics and Shifts across Instances on Mastodon
Seeun Kim, Li Zeng, Sijia Ma, Giulia Sturlese

R2CASS 2025: Social Science Meets Web Data: Reproducible and Reusable Computational Approaches

Numbers Matter: Leveraging Expert-Designed Hints to Improve Financial Sentiment Analysis
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Linking Social Media Discourse with Renewable Energy Adoption: A Data-Driven Analysis of Twitter Activity and Solar Panel Installations in Australia
Vinaykumar Chitukoori
FastLexRank: Bring Order into Social Media Posts Using Lexical Ranking Algorithm
Mao Li, Frederick Conrad, Johann Gagnon-Bartsch
Computational Reproducibility of R Code Supplements on OSF
Lorraine Saju, Tobias Holtdirk, Meetkumar Pravinbhai Mangroliya, Arnim Bleier
From "War" to "Special Military Operation": Interpretable Detection of Linguistic Propaganda Framing in Russian Media
Anastasiia Vestel, Stefania Degaetano-Ortlieb
Fake News Detection in Urdu
Muhammad Zeeshan Nazar, Shakir Ullah Shah, Muhammad Taimoor Khan

#SMM4H-HeaRD 2025: Joint 10th Social Media Mining for Health and Health Real-World Data Workshop and Shared Tasks

Female Autism in Natural Language – A Corpus Paper
Nadine Probol, Margot Mieskes
Posts, Pills, and Pounds: Understanding User Experiences with Weight Reduction Drugs
Vaishali Aggarwal, Ishan Verma, Tirthankar Dasgupta, Manjira Sinha
Uncovering Underreported Adverse Drug Reactions in Epilepsy Communities via Social Media Mining
Ziqi Guo, Robert Palermo, Ahmed Abdeen Hamed, Luis M. Rocha
Overview of the 10th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ICWSM 2025
Ari Z. Klein, Tirthankar Dasgupta, Lauren Gryboski, Sudeshna Jana, Sedigh Khademi, Guillermo Lopez-Garcia, Diego Mazzotti, Takeshi Onishi, Jeanne Powell, Lisa Raithel, Swati Rajwal, Roland Roller, Abeed Sarker, Manjira Sinha, Philippe Thomas, Elena Tutubalina, Dongfang Xu, Pierre Zweigenbaum, Graciela Gonzalez-Hernandez
PEI at #SMM4H-HeaRD 2025: Enhancing Adverse Event Detection via Error-Driven Data Augmentation
Farnaz Zeidi, Roman Christof, Renate König, Liam Childs
LLM Pros at SMM4H-HeaRD 2025 Data Extraction Using Prompt Engineering And Structured Outputs (Task 1, 2, 3, 4, 5, 6)
Aatish Pradhan, Brian M. Habersberger, James H. Wade, Denver Dsouza, Nihal Paul
BOUN at #SMM4H-HeaRD 2025: Enhancing Dementia Family Caregiver Detection on Twitter/X with a Lightweight Language Model
Ece Elif Adak, Şaziye Betül Özateş
CareLab at #SMM4H-HeaRD 2025: Insomnia Detection and Food Safety Event Extraction with Domain-Aware Transformers
Zihan Liang, Ziwen Pan, Sumon Kanti Dey, Azra Ismail
BioNLP1 at #SMM4H-HeaRD 2025: Stacked Representations for Detection of Vaccine Adverse Event Mentions in Social Media Text
Andra Păsărin, Ana Sabina Uban
Y2K@SMM4H 2025: MUSIC: A Multilingual Social-Media Interpreter with Self-Correction Ability
Yufeng Wang, Yifan Gao, Yimeng He
Mason NLP-GRP at #SMM4H-HeaRD 2025: Prompting Large Language Models to Detect Dementia Family Caregivers
Md Badsha Biswas, Ozlem Uzuner
RBG-AI at #SMM4H-HeaRD 2025: LLMs in Healthcare Applications
Barathi Ganesh H.B., Anthony Vijay M., Naren Kishor S., Sharmila B., Jairam R., Jyothish Lal G.
Gooseek@SMM4H-HeaRD 2025: Detection of Personal Adverse Reactions to Shingles Vaccines in Reddit Posts using Large Language Models
Shichao Feng, Donger Chen, Yuan Li, Bailu Zhang
LLATMU at #SMM4H-HeaRD 2025: Finetuned-LLM vs BERT
Hsuan-Lei Shao, Fan chih chuan, Wang Wei Hsin, Sieh-Chuen Huang
RIGA at SMM4H-HeaRD 2025: Context-Enriched Classification Pipeline
Eduards Mukans, Guntis Barzdins
NoviceTrio at #SMM4H-HeaRD 2025: Leveraging LLMs and Ensemble Methods for Classifying Dementia Family Caregivers on Twitter
Abir Naskar, Liuliu Chen, Jemima Kang, Mike Conway
HaleLab-NITK@#SMM4H-HeaRD 2025: Leveraging Large Language Models for Insomnia Prediction From Electronic Health Records
Reshma Unnikrishnan, Supreetha R., Sowmya Kamath S., Ananthanarayana V.S.
HSE NLP Team at #SMM4H-HeaRD 2025: Hybrid LLM and Multilingual BERT Ensemble for Adverse Drug Event Detection
Airat Valiev
ACSS-PSL at #SMM4H-HeaRD 2025: Multilingual and Monolingual Adverse Event Classification using Transformers (Tasks 1 & 6)
Olivier Caron, Bruno Chaves Ferreira, Christophe Benavent
NU_Health_Miners at #SMM4H-HeaRD 2025: Bagging Methods for Detecting Adverse Vaccine Events
Bhavana Rajan Nair, Deahan Yu
HpiVaxVigil at #SMM4H-HeaRD 2025: Detecting Adverse Vaccine Events on Reddit using GPT-4o Chain-of-Thought Reasoning and Fine-Tuned PLMs with Stratified Cross-Validation
Akhyar Ahmed, Esther-Maria Antao
IAI at #SMM4H-HeaRD 2025: Exploring the Limitations of PLMs in Medical Language Understanding Tasks
Aman Sinha
BEARCAT at #SMM4H-HeaRD 2025 Task 1: No Training, No Problem - Multilingual ADE Detection
Ziqi Guo, Robert Palermo, Luis M. Rocha
BingAster at #SMM4H-HeaRD 2025: Identifying Dementia Caregivers on Twitter Using Prompt-Based LLMs and Cognitive Distortion Patterns
Artin Tonekaboni, Xin Wang, Sadamori Kojaku, Luis M. Rocha
WITM at #SMM4H-HeaRD 2025: Detection and Extraction of Food Recalls and Foodborne Disease Outbreaks using linguistically-Informed Language Models
Suchandra Chakraborty, Diya Saha, Sudeshna Jana
BrynMawrNLP @ SMM4H-HeaRD 2025: Stacking RoBERTA with Naive Bayes to Identify Personal Shingles Vaccine Reactions on Reddit
Joon Luther, Adam Poliak