Table of Contents

• How Do US Congress Members Advertise Climate Change: An Analysis of Ads Run on Meta's PlatformsLaurenz Aisenpreis, Gustav Gyrst, Vedran Sekara. 2-11 [doi]
• The Pursuit of Peer Support for Opioid Use Recovery on RedditDuilio Balsamo, Paolo Bajardi, Gianmarco De Francisci Morales, Corrado Monti, Rossano Schifanella. 12-23 [doi]
• Exposure to Marginally Abusive Content on TwitterJack Bandy, Tomo Lazovich. 24-33 [doi]
• Finding Qs: Profiling QAnon Supporters on ParlerDominik Bär, Nicolas Pröllochs, Stefan Feuerriegel. 34-46 [doi]
• Predicting Future Location Categories of Users in a Large Social PlatformRaiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos. 47-58 [doi]
• Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US ElectionAndrew Beers, Joseph S. Schafer, Ian Kennedy, Morgan Wack, Emma S. Spiro, Kate Starbird. 59-71 [doi]
• Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement DataCody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker. 72-83 [doi]
• RTANet: Recommendation Target-Aware Network EmbeddingQimeng Cao, Qing Yin, Yunya Song, Zhihua Wang 0008, Yujun Chen, Richard Yi Da Xu, Xian Yang 0001. 84-94 [doi]
• Recipe Networks and the Principles of Healthy Food on the WebCharalampos Chelmis, Bedirhan Gergin. 95-102 [doi]
• Partisan US News Media Representations of Syrian RefugeesKeyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav 0001, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar. 103-113 [doi]
• DiPPS: Differentially Private Propensity Scores for Bias CorrectionLiangwei Chen, Valentin Hartmann, Robert West 0001. 114-125 [doi]
• Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service DataLin Chen, Fengli Xu, Qianyue Hao, Pan Hui 0001, Yong Li 0008. 126-136 [doi]
• What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 PandemicLucia L. Chen, Steven R. Wilson 0001, Sophie Lohmann, Daniela V. Negraia. 137-148 [doi]
• Analyzing the Engagement of Social Relationships during Life Event Shocks in Social MediaMinje Choi, David Jurgens, Daniel M. Romero. 149-160 [doi]
• Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarity in Online Public DiscourseXiaohan Ding, Michael A. Horning, Eugenia H. Rho. 161-172 [doi]
• Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on TwitterDilara Dogan, Bahadir Altun, Muhammed Said Zengin, Mücahid Kutlu, Tamer Elsayed. 173-184 [doi]
• We Are in This Together: Quantifying Community Subjective Wellbeing and ResilienceMeiXing Dong, Ruixuan Sun, Laura Biester, Rada Mihalcea. 185-196 [doi]
• Non-polar Opposites: Analyzing the Relationship between Echo Chambers and Hostile Intergroup Interactions on RedditAlexandros Efstratiou, Jeremy Blackburn, Tristan Caulfield, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro. 197-208 [doi]
• Misleading Repurposing on TwitterTugrulcan Elmas, Rebekah Overdorf, Karl Aberer. 209-220 [doi]
• Scope of Pre-trained Language Models for Detecting Conflicting Health InformationJoseph Gatto, Madhusudan Basak, Sarah Masud Preum. 221-232 [doi]
• Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit CommunitySalvatore Giorgi, Ke Zhao, Alexander H. Feng, Lara J. Martin. 233-244 [doi]
• Google the Gatekeeper: How Search Components Affect Clicks and AttentionJeffrey L. Gleason, Desheng Hu, Ronald E. Robertson, Christo Wilson. 245-256 [doi]
• Understanding and Detecting Hateful Content Using Contrastive LearningFelipe González-Pizarro, Savvas Zannettou. 257-268 [doi]
• SciLander: Mapping the Scientific News LandscapeMaurício Gruppi, Panayiotis Smeros, Sibel Adali, Carlos Castillo 0001, Karl Aberer. 269-280 [doi]
• A Data Fusion Framework for Multi-Domain Morality LearningSiyi Guo, Negar Mokhberian, Kristina Lerman. 281-291 [doi]
• Representing and Determining Argumentative Relevance in Online Discussions: A General ApproachZhen Guo, Munindar P. Singh. 292-302 [doi]
• The Morbid Realities of Social Media: An Investigation into the Narratives Shared by the Deceased Victims of COVID-19Hussam Habib, Rishab Nithyanand. 303-314 [doi]
• Motif-Based Exploratory Data Analysis for State-Backed Platform Manipulation on TwitterKhuzaima Hameed, Rob Johnston, Brent Younce, Minh Tang, Alyson G. Wilson. 315-326 [doi]
• Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War on RedditHans W. A. Hanley, Deepak Kumar 0006, Zakir Durumeric. 327-338 [doi]
• "A Special Operation": A Quantitative Approach to Dissecting and Comparing Different Media Ecosystems' Coverage of the Russo-Ukrainian WarHans W. A. Hanley, Deepak Kumar 0006, Zakir Durumeric. 339-350 [doi]
• The Geography of Facebook Groups in the United StatesAmaç Herdagdelen, Lada A. Adamic, Bogdan State. 351-362 [doi]
• Quotatives Indicate Decline in Objectivity in U.S. Political NewsTiancheng Hu, Manoel Horta Ribeiro, Robert West 0001, Andreas Spitz. 363-374 [doi]
• Information Retention in the Multi-Platform Sharing of ScienceSohyeon Hwang, Emoke-Ágnes Horvát, Daniel M. Romero. 375-386 [doi]
• Measuring Belief Dynamics on TwitterJoshua Introne. 387-398 [doi]
• Lady and the Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social NetworkWaleed Iqbal, Vahid Ghafouri, Gareth Tyson, Guillermo Suarez-Tangil, Ignacio Castro. 399-410 [doi]
• Weakly Supervised Learning for Analyzing Political Campaigns on FacebookTunazzina Islam, Shamik Roy, Dan Goldwasser. 411-422 [doi]
• Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network ParlerJohannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel. 423-434 [doi]
• Effect of Feedback on Drug Consumption Disclosures on Social MediaHitkul Jangra, Rajiv Ratn Shah, Ponnurangam Kumaraguru. 435-446 [doi]
• SexWEs: Domain-Aware Word Embeddings via Cross-Lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaAiqi Jiang, Arkaitz Zubiaga. 447-458 [doi]
• Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social NetworksJulie Jiang, Xiang Ren, Emilio Ferrara. 459-469 [doi]
• Images, Emotions, and Credibility: Effect of Emotional Facial Expressions on Perceptions of News Content Bias and Source Credibility in Social MediaAlireza Karduni, Ryan Wesslen, Douglas Markant, Wenwen Dou. 470-481 [doi]
• InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural NetworksSeungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang 0010. 482-493 [doi]
• Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program AwarenessAllison Koenecke, Eric Giannella, Robb Willer, Sharad Goel. 494-506 [doi]
• Personal History Affects Reference Points: A Case Study of CodeforcesTakeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura. 507-518 [doi]
• Large-Scale Demographic Inference of Social Media Users in a Low-Resource ScenarioKarim Lasri, Manuel Tonneau, Haaya Naushan, Niyati Malhotra, Ibrahim Farouq, Víctor Orozco-Olvera, Samuel Fraiberger. 519-529 [doi]
• Associative Inference Can Increase People's Susceptibility to MisinformationSian Lee, Haeseung Seo, Dongwon Lee 0001, Aiping Xiong. 530-541 [doi]
• Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre CuesZilin Lin, Kasper Welbers, Susan Vermeer, Damian Trilling. 542-553 [doi]
• "Learn the Facts about COVID-19": Analyzing the Use of Warning Labels on TikTok VideosChen Ling, Krishna P. Gummadi, Savvas Zannettou. 554-565 [doi]
• Improving Mental Health Classifier Generalization with Pre-diagnosis DataYujian Liu, Laura Biester, Rada Mihalcea. 566-577 [doi]
• Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 PandemicXuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei. 578-589 [doi]
• Contextualizing Online Conversational NetworksThomas Magelinski, Kathleen M. Carley. 590-601 [doi]
• Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on TwitterYelena Mejova, Lydia Manikonda. 602-613 [doi]
• Authority without Care: Moral Values behind the Mask Mandate ResponseYelena Mejova, Kyriaki Kalimeri, Gianmarco De Francisci Morales. 614-625 [doi]
• Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social MediaJulia Mendelsohn, Sayan Ghosh, David Jurgens, Ceren Budak. 626-637 [doi]
• Information Operations in Turkey: Manufacturing Resilience with Free Twitter AccountsMaya Merhi, Sarah Rajtmajer, Dongwon Lee 0001. 638-649 [doi]
• "This Is Fake News": Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False InformationKunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Jisun An, Haewoon Kwak, Kazutoshi Sasahara. 650-661 [doi]
• Echo Tunnels: Polarized News Sharing Online Runs Narrow but DeepLillio Mok, Michael Inzlicht, Ashton Anderson. 662-673 [doi]
• The Chance of Winning Election Impacts on Social Media StrategyTaichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai. 674-685 [doi]
• BotBuster: Multi-Platform Bot Detection Using a Mixture of ExpertsLynnette Hui Xian Ng, Kathleen M. Carley. 686-697 [doi]
• "Dummy Grandpa, Do You Know Anything?": Identifying and Characterizing Ad Hominem Fallacy Usage in the WildUtkarsh Patel, Animesh Mukherjee 0001, Mainack Mondal. 698-709 [doi]
• On the Relation between Opinion Change and Information Consumption on RedditFlavio Petruzzellis, Francesco Bonchi, Gianmarco De Francisci Morales, Corrado Monti. 710-719 [doi]
• This Sample Seems to Be Good Enough! Assessing Coverage and Temporal Reliability of Twitter's Academic APIJürgen Pfeffer, Angelina Mooseder, Jana Lasser, Luca Hammer, Oliver Stritzel, David García 0001. 720-729 [doi]
• The Geometry of Misinformation: Embedding Twitter Networks of Users Who Spread Fake News in Geometrical Opinion SpacesPedro Ramaciotti Morales, Manon Berriche, Jean-Philippe Cointet. 730-741 [doi]
• Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community BanningGiuseppe Russo, Luca Verginer, Manoel Horta Ribeiro, Giona Casiraghi. 742-753 [doi]
• Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource ScenariosCinthia Sánchez, Hernan Sarmiento, Andrés Abeliuk, Jorge Pérez 0001, Barbara Poblete. 754-765 [doi]
• How Much User Context Do We Need? Privacy by Design in Mental Health NLP ApplicationsRamit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek. 766-776 [doi]
• Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending TopicsJoseph Schlessinger, Kiran Garimella, Maurice Jakesch, Dean Eckles. 777-786 [doi]
• Detecting Anti-vaccine Users on TwitterMatheus Schmitz, Goran Muric, Keith Burghardt. 787-795 [doi]
• Cybersecurity Misinformation Detection on Social Media: Case Studies on Phishing Reports and Zoom's ThreatMohit Singhal, Nihal Kumarswamy, Shreyasi Kinhekar, Shirin Nilizadeh. 796-807 [doi]
• Characterizing and Identifying Socially Shared Self-Descriptions in Product ReviewsLu Sun, F. Maxwell Harper, Chia-Jung Lee, Vanessa Murdock 0001, Barbara Poblete. 808-819 [doi]
• Social Influence-Maximizing Group RecommendationYangke Sun, Bogdan Cautis, Silviu Maniu. 820-831 [doi]
• Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech TranscriptsKilian Theil, Dirk Hovy, Heiner Stuckenschmidt. 832-841 [doi]
• Identifying Influential Brokers on Social Media from Social Network StructureSho Tsugawa, Kohei Watabe. 842-853 [doi]
• A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change TweetsApoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl. 854-865 [doi]
• An Open-Source Cultural Consensus Approach to Name-Based Gender ClassificationIan Van Buskirk, Aaron Clauset, Daniel B. Larremore. 866-877 [doi]
• Reddit in the Time of COVIDVeniamin Veselovsky, Ashton Anderson. 878-889 [doi]
• Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on TwitterEmily L. Wang, Luca Luceri, Francesco Pierri 0002, Emilio Ferrara. 890-901 [doi]
• AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech DetectionWenjie Yin, Vibhor Agarwal, Aiqi Jiang, Arkaitz Zubiaga, Nishanth Sastry. 902-913 [doi]
• Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in MusicYulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer S. Dhillon. 914-925 [doi]
• Conversation Modeling to Predict DerailmentJiaqing Yuan, Munindar P. Singh. 926-935 [doi]
• Minority Stress Experienced by LGBTQ Online Communities during the COVID-19 PandemicYunhao Yuan, Gaurav Verma, Barbara Keller, Talayeh Aledavood. 936-947 [doi]
• How Circadian Rhythms Extracted from Social Media Relate to Physical Activity and SleepKe Zhou 0003, Marios Constantinides, Daniele Quercia, Sanja Scepanovic. 948-959 [doi]
• Who Is behind a Trend? Temporal Analysis of Interactions among Trend Participants on TwitterJohn Ziegler, Michael Gertz 0001. 960-969 [doi]
• Towards Generalization of Machine Learning Models: A Case Study of Arabic Sentiment AnalysisSamir Abdaljalil, Shaimaa Hassanein, Hamdy Mubarak, Ahmed Abdelali. 971-980 [doi]
• A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm ElectionsRachith Aiyappa, Matthew R. DeVerna, Manita Pote, Bao Tran Truong, Wanying Zhao, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Manikonda, Francesco Pierri 0002, Filippo Menczer, Kai-Cheng Yang. 981-989 [doi]
• Wiki-Based Communities of Interest: Demographics and OutliersHiba Arnaout, Simon Razniewski, Jeff Z. Pan. 990-996 [doi]
• #RoeOverturned: Twitter Dataset on the Abortion Rights ControversyRong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman. 997-1005 [doi]
• Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War between Ukraine and RussiaEmily Chen, Emilio Ferrara. 1006-1013 [doi]
• HateMM: A Multi-Modal Dataset for Hate Video ClassificationMithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee 0001. 1014-1023 [doi]
• HealthE: Recognizing Health Advice & Entities in Online Health CommunitiesJoseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum. 1024-1033 [doi]
• Truth Social DatasetPatrick Gérard, Nicholas Botzer, Tim Weninger. 1034-1040 [doi]
• Construction of Evaluation Datasets for Trend Forecasting StudiesShogo Matsuno, Sakae Mizuki, Takeshi Sakaki. 1041-1051 [doi]
• VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on TwitterYida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song. 1052-1062 [doi]
• Capturing the Aftermath of the Dobbs v. Jackson Women's Health Organization Decision in Google Search Results across the U.SBrooke Perreault, Lan Dau, Anya Wintner, Eni Mustafaraj. 1063-1072 [doi]
• Just Another Day on Twitter: A Complete 24 Hours of Twitter DataJürgen Pfeffer, Daniel Matter, Kokil Jaidka, Onur Varol, Afra Mashhadi, Jana Lasser, Dennis Assenmacher, Siqi Wu, Diyi Yang, Cornelia Brantner, Daniel M. Romero, Jahna Otterbacher, Carsten Schwemmer, Kenneth Joseph, David García 0001, Fred Morstatter. 1073-1081 [doi]
• Codes, Patterns and Shapes of Contemporary Online Antisemitism and Conspiracy Narratives - an Annotation Guide and Labeled German-Language Dataset in the Context of COVID-19Elisabeth Steffen, Helena Mihaljevic, Milena Pustet, Nyco Bischoff, María do Mar Castro Varela, Yener Bayramoglu, Bahar Oghalai. 1082-1092 [doi]
• Invasion@Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War between Russia and Ukraine in 2022Janina Susanne Pohl, Simon Markmann, Dennis Assenmacher, Christian Grimme. 1093-1101 [doi]
• YouNICon: YouTube's CommuNIty of Conspiracy VideosShaoyi Liaw, Fan Huang, Fabrício Benevenuto, Haewoon Kwak, Jisun An. 1102-1111 [doi]
• A Dataset of Coordinated Cryptocurrency-Related Social Media CampaignsKarolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel. 1112-1121 [doi]
• Divergences in Following Patterns between Influential Twitter Users and Their Audiences across Dimensions of IdentitySuyash Fulay, Nabeel Gillani, Deb Roy. 1123-1127 [doi]
• Firearms on Twitter: A Novel Object Detection PipelineRyan Harvey, Rémi Lebret, Stéphane Massonnet, Karl Aberer, Gianluca Demartini. 1128-1132 [doi]
• Auditing Elon Musk's Impact on Hate Speech and BotsDaniel Hickey, Matheus Schmitz, Daniel Fessler, Paul E. Smaldino, Goran Muric, Keith Burghardt. 1133-1137 [doi]
• The Amplification Paradox in Recommender SystemsManoel Horta Ribeiro, Veniamin Veselovsky, Robert West 0001. 1138-1142 [doi]
• Host-Centric Social Connectedness of Migrants in Europe on FacebookAparup Khatua, Emilio Zagheni, Ingmar Weber. 1143-1147 [doi]
• Characterizing Coin-Based Voting Governance in DPoS BlockchainsChao Li, Runhua Xu, Li Duan. 1148-1152 [doi]
• Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive ModelsTingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle H. Ungar. 1153-1157 [doi]
• An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation DetectionAnnika Marie Schoene, John E. Ortega, Silvio Amir, Kenneth Church 0001. 1158-1162 [doi]
• The Half-Life of a TweetJürgen Pfeffer, Daniel Matter, Anahit Sargsyan. 1167 [doi]