Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs. - Po-Yi Du; Ning Zhang; Mohammadreza Ebrahimi 001; Sagar Samtani; Ben Lazarine; Nolan Arnold; Rachael Dunn; Sandeep Suntwal; Guadalupe Angeles; Robert Schweitzer; Hsinchun Chen (ISI, 2018)

On the Importance of Delexicalization for Fact Verification. - Sandeep Suntwal; Mithun Paul; Rebecca Sharp; Mihai Surdeanu (EMNLP/IJCNLP (1), 2019)

How does Information Spread? An Exploratory Study of True and Fake News. - Sandeep Suntwal; Susan A. Brown; Mark Patton (HICSS, 2020)

Towards the Necessity for Debiasing Natural Language Inference Datasets. - Mithun Paul Panenghat; Sandeep Suntwal; Faiz Rafique; Rebecca Sharp; Mihai Surdeanu (LREC, 2020)

Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification. - Mitch Paul Mithun; Sandeep Suntwal; Mihai Surdeanu (EMNLP (1), 2021)

Pictographs, Ideograms, and Emojis (PIE): A Framework for Empirical Research Using Non-verbal Cues. - Sandeep Suntwal; Susan A. Brown; Laura Brandimarte (HICSS, 2021)

Data and Model Distillation as a Solution for Domain-transferable Fact Verification. - Mitch Paul Mithun; Sandeep Suntwal; Mihai Surdeanu (NAACL-HLT, 2021)

Text Versus Paratext: Understanding Individuals' Accuracy in Assessing Online Information. - Sandeep Suntwal; Sue Brown 001 (HICSS, 2023)

Understanding the Role of Nonverbal Tokens in the Spread of Online Information. - Sandeep Suntwal; Sue Brown 001; Laura Brandimarte (HICSS, 2023)

On Learning Bipolar Gradual Argumentation Semantics with Neural Networks. - Caren Al Anaissy; Sandeep Suntwal; Mihai Surdeanu; Srdjan Vesic (ICAART (2), 2024)

On the Feasibility of Learning Bipolar Gradual Argumentation Semantics Using Neural Architectures. - Caren Al Anaissy; Sandeep Suntwal; Mihai Surdeanu; Srdjan Vesic (ICAART (Revised Selected Paper, 2), 2024)