| 2026 | ACL | Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies. | Myke C. Cohen, Mingqian Zheng, Neel Bhandari, Hsien-Te Kao, Xuhui Zhou, Daniel Nguyen, Laura Cassani, Maarten Sap, Svitlana Volkova |
| 2026 | CogSIMA | Communication Markers of Effective Teaming in Simulated Search-and-Rescue Missions. | Hsien-Te Kao, Peter Bautista, Zachary Klinefelter, Adam Fouse, Svitlana Volkova |
| 2026 | FlAIRS | Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies. | Hsien-Te Kao, Peter Bautista, William Dupree, Gabriel Ganberg, Jeffrey M. Beaubien, Laura Cassani, Svitlana Volkova |
| 2026 | FlAIRS | AI Systems That Think, Team, and Fight - A New Paradigm for Defense. | Svitlana Volkova |
| 2026 | HCI | AI-Enabled Training for an Adaptive Instructional and Readiness Ecosystem. | Summer Rebensky, Alexxa Bessey, William Dupree, Anthony McCarty, Svitlana Volkova, Samantha K. B. Perry |
| 2025 | HCI | VirTLab: Augmented Intelligence for Modeling and Evaluating Human-AI Teaming Through Agent Interactions. | Svitlana Volkova, Daniel Nguyen, Louis Penafiel, Hsien-Te Kao, Myke C. Cohen, Grant Engberson, Laura Cassani, Mohammed Almutairi, Charles Chiang, Nandini Banerjee, Matthew Belcher, Trenton W. Ford, Michael G. Yankoski, Tim Weninger, Diego Gmez-Zar, Summer Rebensky |
| 2025 | ICWSM | Modeling Information Narrative Evolution on Telegram During the Russia-Ukraine War. | Patrick Grard, Svitlana Volkova, Louis Penafiel, Kristina Lerman, Tim Weninger |
| 2025 | NAACL | SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation. | Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Wu, Anita Woolley, Hao Zhu, Maarten Sap |
| 2025 | UIST | VIRT-LAB: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations. | Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael G. Yankoski, Trenton W. Ford, Diego Gmez-Zar |
| 2024 | CHI | Machine Learning Insights Into Eating Disorder Twitter Communities. | Hsien-Te Kao, Isabel Erickson, Minh Duc Chu, Zihao He, Kristina Lerman, Svitlana Volkova |
| 2024 | EMNLP | ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. | Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov |
| 2023 | EACL | Unsupervised Keyphrase Extraction via Interpretable Neural Networks. | Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov |
| 2021 | EACL | Evaluating Neural Model Robustness for Machine Comprehension. | Winston Wu, Dustin Arendt, Svitlana Volkova |
| 2020 | INLG | Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. | Emily Saldanha, Aparna Garimella, Svitlana Volkova |
| 2019 | CIKM | Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. | Prasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova |
| 2019 | ICWSM | Explaining Multimodal Deceptive News Prediction Models. | Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson |
| 2019 | IUI | Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. | Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou |
| 2019 | IUI | Vulnerable to misinformation?: Verifi! | Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Lockhart Arendt, Samira Shaikh, Wenwen Dou |
| 2019 | WWW | Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. | Maria Glenski, Emily Saldanha, Svitlana Volkova |
| 2018 | AAAI | Interactive Machine Learning at Scale With CHISSL. | Dustin Arendt, Emily Grace, Svitlana Volkova |
| 2018 | ACL | Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. | Maria Glenski, Tim Weninger, Svitlana Volkova |
| 2018 | COLING | RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. | Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov |
| 2018 | ICWSM | Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics. | Alireza Karduni, Ryan Wesslen, Sashank Santhanam, Isaac Cho, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou |
| 2018 | NAACL | Predicting Foreign Language Usage from English-Only Social Media Posts. | Svitlana Volkova, Stephen Ranshous, Lawrence Phillips |
| 2018 | WWW | Misleading or Falsification: Inferring Deceptive Strategies and Types in Online News and Social Media. | Svitlana Volkova, Jin Yea Jang |
| 2017 | ACL | ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. | Dustin Arendt, Svitlana Volkova |
| 2017 | ACL | Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. | Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova |
| 2017 | ACL | Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. | Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, Nathan Oken Hodas |
| 2017 | EMNLP | Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. | Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi |
| 2017 | ICWSM | Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. | Ian Stewart, Dustin Arendt, Eric Bell, Svitlana Volkova |
| 2017 | ICWSM | Identifying Effective Signals to Predict Deleted and Suspended Accounts on Twitter Across Languages. | Svitlana Volkova, Eric Bell |
| 2016 | AAAI | Discourse, Health and Well-Being of Military Populations Through the Social Media Lens. | Umashanthi Pavalanathan, Vivek V. Datla, Svitlana Volkova, Lauren Charles-Smith, Meg Pirrung, Joshua J. Harrison, Alan R. Chappell, Courtney D. Corley |
| 2016 | ACL | Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. | Svitlana Volkova, Yoram Bachrach |
| 2016 | CHI | Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students. | Kyungsik Han, Svitlana Volkova, Courtney D. Corley |
| 2015 | AAAI | Inferring Latent User Properties from Texts Published in Social Media. | Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma |
| 2015 | AAAI | Online Bayesian Models for Personal Analytics in Social Media. | Svitlana Volkova, Benjamin Van Durme |
| 2015 | DSAA | Using emotions to predict user interest areas in online social networks. | Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova |
| 2015 | NAACL | Social Media Predictive Analytics. | Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach |
| 2014 | ACL | Inferring User Political Preferences from Streaming Communications. | Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme |
| 2013 | ACL | Lightly Supervised Learning of Procedural Dialog Systems. | Svitlana Volkova, Pallavi Choudhury, Chris Quirk, Bill Dolan, Luke Zettlemoyer |
| 2013 | ACL | Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams. | Svitlana Volkova, Theresa Wilson, David Yarowsky |
| 2013 | EMNLP | Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media. | Svitlana Volkova, Theresa Wilson, David Yarowsky |
| 2013 | NAACL | Learning to Relate Literal and Sentimental Descriptions of Visual Properties. | Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer |
| 2012 | EACL | CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language. | Svitlana Volkova, William B. Dolan, Theresa Wilson |
| 2010 | ISI | Computational knowledge and information management in veterinary epidemiology. | Svitlana Volkova, William H. Hsu |