Accepted Papers


Full Papers

List of accepted full papers in alphabetical order.



  • A Data Fusion Framework for Multi-Domain Morality Learning
    Siyi Guo, Negar Mokhberian, Kristina Lerman
  • A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
    Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
  • Analyzing the Engagement of Social Relationships During Life Event Shocks in Social Media
    Minje Choi, David Jurgens, Daniel Romero
  • AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
    Wenjie Yin, Vibhor Agarwal, Aiqi Jiang, Arkaitz Zubiaga, Nishanth Sastry
  • An Open-Source Cultural Consensus Approach to Name-Based Gender Classification
    Ian Van Buskirk, Aaron Clauset, Dan Larremore
  • Associative Inference Can Increase People’s Susceptibility to Misinformation
    Sian Lee, Haeseung Seo, Dongwon Lee, Aiping Xiong
  • Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community
    Salvatore Giorgi, Ke Zhao, Alexander H Feng, Lara J. Martin
  • Authority without Care: Moral Values behind the Mask Mandate Response
    Yelena Mejova, Kyriaki Kalimeri, Gianmarco De Francisci Morales
  • Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues
    Zilin Lin, Kasper Welbers, Susan Vermeer, Damian Trilling
  • Bridging nations: quantifying the role of multilinguals in communication on social media
    Julia Mendelsohn, Sayan Ghosh, David Jurgens, Ceren Budak
  • Catch Me If You Can: How to Run Away From AI Cops
    Dilara Dogan, Muhammed Said Zengin, Bahadir Altun, Mucahid Kutlu, Tamer Elsayed
  • Characterizing and Identifying Socially Shared Self-Descriptions in Product Reviews
    Lu Sun, F. Maxwell Harper, Chia-Jung Lee, Vanessa Murdock, Barbara Poblete
  • Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 using YouTube Videos on Twitter
    Yelena Mejova, Lydia Manikonda
  • Contextualizing Online Conversational Networks
    Thomas Magelinski, Kathleen M. Carley
  • Conversation Modeling to Predict Derailment
    Jiaqing Yuan, Munindar P. Singh
  • Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
    Cinthia Sánchez, Hernan Sarmiento, Jorge Pérez, Andres Abeliuk, Barbara Poblete
  • Cybersecurity Misinformation Detection on Social Media: Case Studies on Phishing Reports and Zoom’s Threat
    Mohit Singhal, Nihal Kumarswamy, Shreyasi Kinhekar, Shirin Nilizadeh
  • Detecting Anti-Vaccine Users on Twitter
    Matheus Schmitz, Goran Murić, Keith Burghardt
  • Differentially Private Propensity Scores for Bias Correction
    Liangwei CHEN, Valentin Hartmann, Robert West
  • Echo Tunnels: Polarized News Sharing Online Runs Narrow but Deep
    Lillio Mok, Michael Inzlicht, Ashton Anderson
  • Effect of Feedback on Drug Consumption Disclosures on Social Media
    Hitkul Jangra, Rajiv Ratn Shah, Ponnurangam Kumaraguru
  • Exposure to Marginally Abusive Content on Twitter
    Jack Bandy, Tomo Lazovich
  • Finding Qs: Profiling QAnon Supporters on Parler
    Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
  • Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election
    Andrew Beers, Joseph Schafer, Ian Kennedy, Morgan Wack, Emma S. Spiro, Kate Starbird
  • Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data
    Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li
  • Google the Gatekeeper: How Search Components Affect Clicks and Attention
    Jeffrey Gleason, Desheng Hu, Ronald E Robertson, Christo Wilson
  • Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit
    Hans Hanley, Deepak Kumar, Zakir Durumeric
  • How circadian rhythms extracted from social media relate to physical activity and sleep
    Ke Zhou, Marios Constantinides, Daniele Quercia, Sanja Scepanovic
  • How Do US Politicians Advertise Climate Change: An Analysis of Ads run on Meta’s Platforms
    Laurenz Aisenpreis, Gustav Gyrst, Vedran Sekara
  • How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications
    Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek
  • Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on Twitter
    Emily L Wang, Luca Luceri, Francesco Pierri, Emilio Ferrara
  • Identifying Influential Brokers on Social Media from Social Network Structure
    Sho Tsugawa, Kohei Watabe
  • Images, Emotions, and Credibility: Effect of Emotional Facial Expressions on Perceptions of News Content Bias and Source Credibility in Social Media
    Alireza Karduni, Ryan Wesslen, Douglas Markant, Wenwen Dou
  • Improving Mental Health Classifier Generalization with Pre-Diagnosis Data
    Yujian Liu, Laura Biester, Rada Mihalcea
  • InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks
    Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
  • Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts
    Maya Merhi, Sarah Rajtmajer, Dongwon Lee
  • Information Retention in the Multi-platform Sharing of Science
    Sohyeon Hwang, Emoke Agnes Horvat, Daniel Romero
  • Lady and the Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social Network
    Waleed Iqbal, Vahid Ghafouri, Gareth Tyson, Guillermo Suarez-Tangil, Ignacio Castro
  • Large-Scale Demographic Inference of Social Media Users in a Low-Resource Scenario
    Karim Lasri, Manuel Tonneau, Haaya Naushan, Niyati Malhotra, Ibrahim Farouq, Víctor Orozco-Olvera, Samuel Fraiberger
  • Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives
    Pranav Goel, David Lazer, Philip Resnik
  • Measuring Belief Dynamics on Twitter
    Joshua Introne
  • Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement Data
    Cody L Buntain, Richard Bonneau, Jonathan Nagler, Joshua Tucker
  • Misleading Repurposing on Twitter
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
  • Motif-Based Exploratory Data Analysis for State-Backed Platform Manipulation on Twitter
    Khuzaima Hameed, Rob Johnston, Brent Younce, Minh Tang, Alyson Wilson
  • Non-Polar Opposites: Analyzing the Relationship Between Echo Chambers and Hostile Intergroup Interactions on Reddit
    Alexandros Efstratiou, Jeremy Blackburn, Tristan Caulfield, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro
  • Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler
    Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
  • On the Relation Between Opinion Change and Information Consumption on Reddit
    Flavio Petruzzellis, Francesco Bonchi, Gianmarco De Francisci Morales
  • Partisan US News Media Representations of Syrian Refugees
    Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur Rahman KhudaBukhsh, Chris T Bauch, Preslav Ivanov Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar
  • Personal History Affects Reference Points: A Case Study of Codeforces
    Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura
  • Popular Support for Equity in Algorithmic Decision-Making
    Allison Koenecke, Eric Giannella, Robb Willer,; Sharad Goel
  • Predicting Future Location Categories of Users in a Large Social Platform
    Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
  • Quotatives Indicate Decline in Objectivity in U.S. Political News
    Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz
  • Recipe Networks and the Principles of Healthy Food on the Web
    Charalampos Chelmis, Bedirhan Gergin
  • Reddit in the Time of COVID
    Veniamin Veselovsky, Ashton Anderson
  • Representing and Determining Argumentative Relevance in Online Discussions: A General Approach
    Zhen Guo, Munindar P. Singh
  • Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks
    Julie Jiang, Xiang Ren, Emilio Ferrara
  • RTANet: Recommendation Target-Aware Network Embedding
    Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang
  • Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarity in Online Public Discourse
    Xiaohan Ding, Michael Horning, Eugenia Ha Rim Rho
  • SciLander: Mapping the Scientific News Landscape
    Maurício Gruppi, Panayiotis Smeros, Sibel Adali, Carlos Castillo, Karl Aberer
  • Scope of Pre-trained Language Models for Detecting Conflicting Health Information
    Joseph Gatto, Madhusudan Basak, Sarah Masud Preum
  • SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media
    Aiqi Jiang, Arkaitz Zubiaga
  • Social Influence-Maximizing Group Recommendation
    Yangke Sun, Bogdan Cautis, Silviu Maniu
  • Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
    Giuseppe Russo, Luca Verginer, Manoel Horta Ribeiro, Giona Casiraghi
  • Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
    Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei
  • The Chance of Winning Election Impacts on Social Media Strategy
    Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai
  • The Effect of Twitter’s Trending Topics Page on Tweet Volume
    Kiran Garimella, Maurice Jakesch, Joseph Schlessinger, Dean Eckles
  • The Geography of Facebook Groups in the United States
    Amaç Herdağdelen, Lada A. Adamic, Bogdan State
  • The geometry of misinformation: embedding Twitter networks of users who spread fake news in geometrical opinion spaces
    Pedro Ramaciotti Morales, Manon Berriche, Jean-Philippe Cointet
  • The Impact of COVID-19 Pandemic on LGBTQ Online Communities
    Yunhao Yuan, Gaurav Verma, Barbara Keller, Talayeh Aledavood
  • The Morbid Realities of Social Media: An Investigation into the Narratives Shared by the Deceased Victims of COVID-19
    Hussam Habib, Rishab Nithyanand
  • The pursuit of peer support for opioid use recovery on Reddit
    Duilio Balsamo, Paolo Bajardi, Gianmarco De Francisci Morales, Corrado Monti, Rossano Schifanella
  • This Sample seems to be good enough! Assessing Coverage and Temporal Reliability of Twitter’s Academic API
    Juergen Pfeffer, Angelina Mooseder, Jana Lasser, Luca Hammer, Oliver Stritzel, David Garcia
  • Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts
    Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt
  • Understanding and Detecting Hateful Content using Contrastive Learning
    Felipe Gonzalez Pizarro, Savvas Zannettou
  • Unique in what sense? Heterogeneous relationships between multiple types of uniqueness and popularity in music
    Yulin Yu, Pui Yin Cheung, Paramveer Dhillon, Yong-Yeol Ahn
  • Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
    Tunazzina Islam, Shamik Roy, Dan Goldwasser
  • We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience
    MeiXing Dong, Ruixuan Sun, Laura Biester, Rada Mihalcea
  • What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic
    Lucia Chen, Steven R Wilson, Daniela Veronica Negraia, Sophie Lohmann
  • Who Is Behind a Trend? Temporal Analysis of Interactions Among Trend Participants on Twitter
    John Ziegler, Michael Gertz
  • “A Special Operation”: A Quantitative Approach to Dissecting and Comparing Different Media Ecosystems' Coverage of the Russo-Ukrainian War
    Hans Hanley, Deepak Kumar, Zakir Durumeric
  • “Dummy Grandpa, do you know anything?”: Identifying and Characterizing Ad hominem Fallacy Usage in the Wild
    Utkarsh Patel, Animesh Mukherjee, Mainack Mondal
  • “Learn the Facts About COVID-19”: Analyzing the Use of Warning Labels on TikTok Videos
    Chen Ling, Krishna P. Gummadi, Savvas Zannettou
  • “This is Fake News”: Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information
    Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Jisun An, Haewoon Kwak, Kazutoshi Sasahara




Posters

List of accepted posters in alphabetical order.



  • An Example of (Too Much) Hyper-parameter Tuning in Suicide Ideation Detection
    Annika Marie Schoene, John E. Ortega, Silvio Amir, Kenneth Church
  • Auditing Elon Musk's Impact on Hate Speech and Bots
    Daniel Hickey, Matheus Schmitz, Daniel M.T. Fessler, Paul Smaldino, Goran Murifa, Keith Burghardt
  • BotBuster: Multi-platform Bot Detection Using A Mixture of Experts
    Lynnette Hui Xian Ng, Kathleen M. Carley
  • Characterizing Coin-based Voting Governance in DPoS Blockchains
    Chao Li, Runhua Xu, Li Duan
  • Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models
    Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle Ungar
  • Divergences in Following Patterns between Influential Twitter Users and their Audiences Across Dimensions of Identity
    Suyash Pradeep Fulay, Nabeel Gillani, Deb Roy
  • Firearms On Twitter: A Novel Object Detection Pipeline
    Ryan Harvey, Remi Lebret, Stephane Massonnet, Karl Aberer, Gianluca Demartini
  • Host-Centric Social Connectedness of Migrants in Europe on Facebook
    Aparup Khatua, Emilio Zagheni, Ingmar Weber
  • The Amplification Paradox in Recommender Systems
    Manoel Horta Ribeiro, Veniamin Veselovsky, Robert West
  • The Half-Life of a Tweet
    Juergen Pfeffer, Daniel Matter, Anahit Sargsyan




Dataset Track Posters

List of accepted dataset track posters in alphabetical order.



  • #RoeOverturned: Twitter Dataset on the Abortion Rights Controversy
    Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman
  • A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns
    Karolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel
  • A multi-platform collection of social media posts about the 2022 U.S. midterm elections
    Matthew DeVerna, Rachith Aiyappa, Wanying Zhao, Manita Pote, Bao Tran Truong, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Tejaswini Manikonda, Francesco Pierri, Filippo Menczer, Kai-Cheng Yang
  • Capturing the Aftermath of the Dobbs v. Jackson Decision in the Google Search Results across 65 U.S. Locations
    Brooke Perreault, Lan Dau, Anya Wintner, Eni Mustafaraj
  • Codes, Patterns and Shapes of Contemporary Online Antisemitism and Conspiracy Narratives - an Annotation Guide and Labeled German-Language Dataset in the Context of COVID-19
    Elisabeth Steffen, Helena Mihaljevic, Milena Pustet, Nyco Bischoff, Maria do Mar Castro Varela, Yener Bayramoglu, Bahar Oghalai
  • Construction of Evaluation Datasets for Trend Forecasting Studies
    Shogo Matsuno, Sakae Mizuki, Takeshi Sakaki
  • HateMM: A Multi-modal Dataset for Hate Video Classification
    Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee
  • HealthE: Recognizing Health Advice & Entities in Online Health Communities
    Joseph Gatto, Parker Seegmiller, Garrett M Johnston, Madhusudan Basak, Sarah Masud Preum
  • Invasion@Ukraine: Providing and describing a Twitter streaming dataset that captures the outbreak of war between Russia and Ukraine in 2022
    Janina Susanne Pohl, Simon Markmann, Dennis Assenmacher, Christian Grimme
  • Just Another Day on Twitter: A Complete 24 Hours of Twitter Data
    Juergen Pfeffer, Daniel Matter, Kokil Jaidka, Onur Varol, Afra Mashhadi, Jana Lasser, Dennis Assenmacher, Siqi Wu, Diyi Yang, Cornelia Brantner, Daniel Romero, Jahna Otterbacher, Carsten Schwemmer, Kenneth Joseph, David Garcia, Fred Morstatter
  • Towards Generalization of Machine Learning Models: A Case Study of Arabic Sentiment Analysis
    Shaimaa SE Hassanein, Samir Abdaljalil, Hamdy Mubarak, Ahmed Abdelali
  • Truth Social Dataset
    Patrick Gerard, Nicholas Botzer, Tim Weninger
  • Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia
    Emily Chen, Emilio Ferrara
  • VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter
    Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
  • Wiki-based Communities of Interest: Demographics and Outliers
    Hiba Arnaout, Simon Razniewski, Jeff Pan
  • YouNICon: YouTube‚ Äôs CommuNIty of Conspiracy Videos
    Shao Yi Liaw, Fan Huang, Fabricio Benevenuto, Haewoon Kwak, Jisun An