Understanding Abuse: A Typology of Abusive Language Detection Subtasks. - Zeerak Waseem; Thomas Davidson; Dana Warmsley; Ingmar Weber (ALW@ACL, 2017)

Automated Hate Speech Detection and the Problem of Offensive Language. - Thomas Davidson; Dana Warmsley; Michael W. Macy; Ingmar Weber (ICWSM, 2017)

From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. - Dana Warmsley; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2018)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Samuel D. Johnson; Nigel Stepp; Aruna Jammalamadaka; Dana Warmsley; Tiffany Kim; Tsai-Ching Lu (IEEE BigData, 2019)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Nigel Stepp; Aruna Jammalamadaka; Tiffany Kim; Sam Johnson; Dana Warmsley; Tsai-Ching Lu (IEEE BigData, 2019)

Causal Maps for Multi-Document Summarization. - Sasha Strelnikoff; Aruna Jammalamadaka; Dana Warmsley (IEEE BigData, 2020)

Optimizing Attention-Aware Opinion Seeding Strategies. - Charles E. Martin; Dana Warmsley; Samuel D. Johnson (SBP-BRiMS, 2020)

Influence in Transient Populations. - Dana Warmsley; Samuel D. Johnson (IEEE BigData, 2021)

Causal Abstraction Via Emergence for Predicting Bilateral Trade. - Aruna Jammalamadaka; Dana Warmsley; Tsai-Ching Lu (CAWS, 2021)

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. - Dana Warmsley; Alex Waagen; Jiejun Xu; Zhining Liu 002; Hanghang Tong (IEEE Big Data, 2022)

Learning Explainable Multi-view Representations for Malware Authorship Attribution. - Irsyad Adam; Alex Waagen; Dana Warmsley; Jiejun Xu (IEEE Big Data, 2023)

Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations. - Dana Warmsley; Jiejun Xu; Samuel D. Johnson (SBP-BRiMS, 2024)

Self-assessment in machines boosts human Trust. - Dana Warmsley; Krishna Choudhary; Jocelyn Rego; Emma Viani; Praveen K. Pilly (Frontiers Robotics AI, 2025)