Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election. - Mehrnoosh Sameki; Mattia Gentil; Kate K. Mays; Lei Guo 017; Margrit Betke (CoRR, 2016)

Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence. - Siyi Liu; Lei Guo 017; Kate K. Mays; Margrit Betke; Derry Tanti Wijaya (CoNLL, 2019)

BUOCA: Budget-Optimized Crowd Worker Allocation. - Mehrnoosh Sameki; Sha Lai; Kate K. Mays; Lei Guo 017; Prakash Ishwar; Margrit Betke (CoRR, 2019)

Mediated Communication and Customer Service Experiences: Psychological and Demographic Predictors of User Evaluations in the United States. - Kate K. Mays; James E. Katz; Jacob Groshek (HICSS, 2020)

Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets. - Mona Jalal; Kate K. Mays; Lei Guo 017; Margrit Betke (CoRR, 2020)

Trait motivational reactivity as a predictor of online dating app behavior. - James J. Cummings; Kate K. Mays (Comput. Hum. Behav., 2021)

Breaching perpetual contact: Withdrawing from mobile and social media use in everyday life. - André H. Caron; Kate K. Mays (First Monday, 2021)

AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society. - Kate K. Mays; Yiming Lei; Rebecca Giovanetti; James E. Katz (AI Soc., 2022)

The Power of Personal Ontologies: Individual Traits Prevail Over Robot Traits in Shaping Robot Humanization Perceptions. - Kate K. Mays; James J. Cummings (Int. J. Soc. Robotics, 2023)

More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. - Ekaterina Novozhilova; Kate K. Mays; Sejin Paik; James E. Katz (Mach. Learn. Knowl. Extr., 2024)

Reply to Damaševičius, R. Comment on "Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366". - Ekaterina Novozhilova; Kate K. Mays; Sejin Paik; James E. Katz (Mach. Learn. Knowl. Extr., 2024)

Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe? - Noemi Dreksler; Lucius Caviola; David Chalmers; Carter Allen; Alex Rand; Joshua Lewis; Philip D. Waggoner; Kate K. Mays; Jeff Sebo (CoRR, 2025)

Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life. - Sejin Paik; Ekaterina Novozhilova; Kate K. Mays; James E. Katz (Discov. Artif. Intell., 2025)