Computational knowledge and information management in veterinary epidemiology. - Svitlana Volkova; William H. Hsu (ISI, 2010)

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. - Svitlana Volkova; Doina Caragea; William H. Hsu; John Drouhard; Landon Fowles (Web Intelligence, 2010)

CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language. - Svitlana Volkova; William B. Dolan; Theresa Wilson (EACL, 2012)

Lightly Supervised Learning of Procedural Dialog Systems. - Svitlana Volkova; Pallavi Choudhury; Chris Quirk; Bill Dolan; Luke Zettlemoyer (ACL (1), 2013)

Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams. - Svitlana Volkova; Theresa Wilson; David Yarowsky (ACL (2), 2013)

Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media. - Svitlana Volkova; Theresa Wilson; David Yarowsky (EMNLP, 2013)

Learning to Relate Literal and Sentimental Descriptions of Visual Properties. - Mark Yatskar; Svitlana Volkova; Asli Celikyilmaz; Bill Dolan; Luke Zettlemoyer (HLT-NAACL, 2013)

Inferring User Political Preferences from Streaming Communications. - Svitlana Volkova; Glen Coppersmith; Benjamin Van Durme (ACL (1), 2014)

Inferring Latent User Properties from Texts Published in Social Media. - Svitlana Volkova; Yoram Bachrach; Michael Armstrong; Vijay Sharma (AAAI, 2015)

Online Bayesian Models for Personal Analytics in Social Media. - Svitlana Volkova; Benjamin Van Durme (AAAI, 2015)

Using emotions to predict user interest areas in online social networks. - Yoad Lewenberg; Yoram Bachrach; Svitlana Volkova (DSAA, 2015)

Social Media Predictive Analytics. - Svitlana Volkova; Benjamin Van Durme; David Yarowsky; Yoram Bachrach (HLT-NAACL, 2015)

On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure. - Svitlana Volkova; Yoram Bachrach (Cyberpsychology Behav. Soc. Netw., 2015)

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 (AAAI Workshop: WWW and Population Health Intelligence, 2016)

Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. - Svitlana Volkova; Yoram Bachrach (ACL (1), 2016)

Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. - Svitlana Volkova; Yoram Bachrach; Benjamin Van Durme (BigDataService, 2016)

Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students. - Kyungsik Han; Svitlana Volkova; Courtney D. Corley (CHI Extended Abstracts, 2016)

Contrasting Public Opinion Dynamics and Emotional Response During Crisis. - Svitlana Volkova; Ilia Chetviorkin; Dustin Arendt; Benjamin Van Durme (SocInfo (1), 2016)

Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse. - Svitlana Volkova; Kyungsik Han; Courtney D. Corley (SocInfo (1), 2016)

Understanding Social Media's Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions. - Neetu Pathak; Michael J. Henry; Svitlana Volkova (AAAI Spring Symposia, 2017)

ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. - Dustin Arendt; Svitlana Volkova (ACL (System Demonstrations), 2017)

Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. - Hannah Rashkin; Eric Bell; Yejin Choi 001; Svitlana Volkova (ACL (2), 2017)

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 (ACL (2), 2017)

Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. - Hannah Rashkin; Eunsol Choi; Jin Yea Jang; Svitlana Volkova; Yejin Choi 001 (EMNLP, 2017)

Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. - Ian Stewart; Dustin Arendt; Eric Bell; Svitlana Volkova (ICWSM, 2017)

Identifying Effective Signals to Predict Deleted and Suspended Accounts on Twitter Across Languages. - Svitlana Volkova; Eric Bell (ICWSM, 2017)

CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data. - Isaac Cho; Ryan Wesslen; Svitlana Volkova; William Ribarsky; Wenwen Dou (VAST, 2017)

Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. - Lawrence Phillips; Kyle Shaffer; Dustin Arendt; Nathan Oken Hodas; Svitlana Volkova (Rep4NLP@ACL, 2017)

Using Social Media to Predict the Future: A Systematic Literature Review. - Lawrence Phillips; Chase Dowling; Kyle Shaffer; Nathan Oken Hodas; Svitlana Volkova (CoRR, 2017)

Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models. - Maria Glenski; Ellyn Ayton; Dustin Arendt; Svitlana Volkova (CoRR, 2017)

Uncovering the relationships between military community health and affects expressed in social media. - Svitlana Volkova; Lauren E. Charles; Josh Harrison; Courtney D. Corley (EPJ Data Sci., 2017)

Interactive Machine Learning at Scale With CHISSL. - Dustin Arendt; Emily Grace; Svitlana Volkova (AAAI, 2018)

Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. - Maria Glenski; Tim Weninger; Svitlana Volkova (ACL (2), 2018)

How Humans Versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users. - Maria Glenski; Tim Weninger; Svitlana Volkova (ASONAM, 2018)

RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. - Anna Rogers; Alexey Romanov; Anna Rumshisky; Svitlana Volkova; Mikhail Gronas; Alex Gribov (COLING, 2018)

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 (ICWSM, 2018)

Predicting Foreign Language Usage from English-Only Social Media Posts. - Svitlana Volkova; Stephen Ranshous; Lawrence Phillips (NAACL-HLT (2), 2018)

Misleading or Falsification: Inferring Deceptive Strategies and Types in Online News and Social Media. - Svitlana Volkova; Jin Yea Jang (WWW (Companion Volume), 2018)

Propagation From Deceptive News Sources Who Shares, How Much, How Evenly, and How Quickly? - Maria Glenski; Tim Weninger; Svitlana Volkova (IEEE Trans. Comput. Soc. Syst., 2018)

Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. - Prasha Shrestha; Suraj Maharjan; Dustin Arendt; Svitlana Volkova (CIKM, 2019)

Explaining Multimodal Deceptive News Prediction Models. - Svitlana Volkova; Ellyn Ayton; Dustin Lockhart Arendt; Zhuanyi Huang; Brian Hutchinson (ICWSM, 2019)

Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. - Dustin Arendt; Emily Saldanha; Ryan Wesslen; Svitlana Volkova; Wenwen Dou (IUI, 2019)

Vulnerable to misinformation?: Verifi! - Alireza Karduni; Isaac Cho; Ryan Wesslen; Sashank Santhanam; Svitlana Volkova; Dustin Lockhart Arendt; Samira Shaikh; Wenwen Dou (IUI, 2019)

Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. - Maria Glenski; Emily Saldanha; Svitlana Volkova (WWW, 2019)

Improved Forecasting of Cryptocurrency Price using Social Signals. - Maria Glenski; Tim Weninger; Svitlana Volkova (CoRR, 2019)

Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms. - Maria Glenski; Ellyn Ayton; Josh Mendoza; Svitlana Volkova (CoRR, 2019)

Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. - Emily Saldanha; Aparna Garimella; Svitlana Volkova (INLG, 2020)

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. - Dustin Arendt; Zhuanyi Huang; Prasha Shrestha; Ellyn Ayton; Maria Glenski; Svitlana Volkova (CoRR, 2020)

Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. - Winston Wu; Dustin Arendt; Svitlana Volkova (CoRR, 2020)

Evaluating Deception Detection Model Robustness To Linguistic Variation. - Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova (SocialNLP@NAACL, 2021)

Evaluating Neural Model Robustness for Machine Comprehension. - Winston Wu; Dustin Arendt; Svitlana Volkova (EACL, 2021)

VAINE: Visualization and AI for Natural Experiments. - Grace Guo; Maria Glenski; ZhuanYi Shaw; Emily Saldanha; Alex Endert; Svitlana Volkova; Dustin Arendt (IEEE VIS (Short Papers), 2021)

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages. - Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova (CoRR, 2021)

Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community. - Maria Glenski; Svitlana Volkova (CoRR, 2021)

ExSAIS: Workshop on Extreme Scaling of AI for Science Message from the workshop chairs. - Svitlana Volkova; Robert Rallo (IPDPS Workshops, 2022)

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs. - Sameera Horawalavithana; Ellyn Ayton; Anastasiya Usenko; Shivam Sharma; Jasmine Eshun; Robin Cosbey; Maria Glenski; Svitlana Volkova (CoRR, 2022)

Unsupervised Keyphrase Extraction via Interpretable Neural Networks. - Rishabh Joshi; Vidhisha Balachandran; Emily Saldanha; Maria Glenski; Svitlana Volkova; Yulia Tsvetkov (EACL (Findings), 2023)

Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods. - Svitlana Volkova; Dustin Arendt; Emily Saldanha; Maria Glenski; Ellyn Ayton; Joseph Cottam; Sinan Aksoy; Brett Jefferson; Karthnik Shrivaram (Comput. Math. Organ. Theory, 2023)

Machine Learning Insights Into Eating Disorder Twitter Communities. - Hsien-Te Kao; Isabel Erickson; Minh Duc Chu; Zihao He; Kristina Lerman; Svitlana Volkova (CHI Extended Abstracts, 2024)

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 (EMNLP (Findings), 2024)

Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions. - Louis Penafiel; Hsien-Te Kao; Isabel Erickson; David Chu; Robert McCormack; Kristina Lerman; Svitlana Volkova (CoRR, 2024)

Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War. - Patrick Gérard; Svitlana Volkova; Louis Penafiel; Kristina Lerman; Tim Weninger (CoRR, 2024)

Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development. - Daniel Nguyen; Myke C. Cohen; Hsien-Te Kao; Grant Engberson; Louis Penafiel; Spencer Lynch; Svitlana Volkova (CoRR, 2024)

Anticipating Technical Expertise and Capability Evolution in Research Communities Using Dynamic Graph Transformers. - Sameera Horawalavithana; Ellyn Ayton; Anastasiya Usenko; Robin Cosbey; Svitlana Volkova (IEEE Trans. Comput. Soc. Syst., 2024)

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; et al. (HCI (48), 2025)

Modeling Information Narrative Evolution on Telegram During the Russia-Ukraine War. - Patrick Gérard; Svitlana Volkova; Louis Penafiel; Kristina Lerman; Tim Weninger (ICWSM, 2025)

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 001; Hsien-Te Kao; Spencer Lynch; Svitlana Volkova; Tongshuang Sherry Wu; Anita Woolley; Hao Zhu 011; Maarten Sap (CoRR, 2025)

Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues. - Myke C. Cohen; Zhe Su; Hsien-Te Kao; Daniel Nguyen; Spencer Lynch; Maarten Sap; Svitlana Volkova (CoRR, 2025)

VirtLab: 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 Yankoski; Trenton W. Ford; Diego Gómez-Zará (CoRR, 2025)