Random Voting Effects in Social-Digital Spaces: A Case Study of Reddit Post Submissions. - Tim Weninger; Thomas James Johnston; Maria Glenski (HT, 2015)

Predicting User-Interactions on Reddit. - Maria Glenski; Tim Weninger (ASONAM, 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)

Consumers and Curators: Browsing and Voting Patterns on Reddit. - Maria Glenski; Corey Pennycuff; Tim Weninger (IEEE Trans. Comput. Soc. Syst., 2017)

Rating Effects on Social News Posts and Comments. - Maria Glenski; Tim Weninger (ACM Trans. Intell. Syst. Technol., 2017)

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)

GuessTheKarma: A Game to Assess Social Rating Systems. - Maria Glenski; Greg Stoddard; Paul Resnick; Tim Weninger (Proc. ACM Hum. Comput. Interact., 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)

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)

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

Measure Utility, Gain Trust: Practical Advice for XAI Researcher. - Brittany Davis Pierson; Maria Glenski; William Sealy; Dustin Arendt (CoRR, 2020)

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

Improving Synonym Recommendation Using Sentence Context. - Maria Glenski; William Sealy; Kate Miller; Dustin Arendt (SustaiNLP@EMNLP, 2021)

Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities. - Galen Weld; Maria Glenski; Tim Althoff (ICWSM, 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)

Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. - Galen Weld; Maria Glenski; Tim Althoff (CoRR, 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)

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. - Galen Weld; Ellyn Ayton; Tim Althoff; Maria Glenski (CoRR, 2021)

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

Behavior Change in Response to Subreddit Bans and External Events. - Pamela Bilo Thomas; Daniel Riehm; Maria Glenski; Tim Weninger (IEEE Trans. Comput. Soc. Syst., 2021)

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Galen Weld; Peter West; Maria Glenski; David Arbour; Ryan A. Rossi; Tim Althoff (ICWSM, 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)

Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry. - Anurag Acharya 002; Shivam Sharma; Robin Cosbey; Megha Subramanian; Scott Howland; Maria Glenski (CoRR, 2024)