A deep learning approach to training a brain activity-based trial-by-trial classifier for rapid serial visual presentation imagery. - Katherine Porterfield; Leslie M. Blaha; Jonathan Suter; Johnathan Cree; Gianluca Longoni; Jesse M. Johns; Gerges Dib; Kayla Duskin (CogSci, 2018)

Probing for Artifacts: Detecting Imagenet Model Evasions. - Jeremiah Rounds; Addie Kingsland; Michael J. Henry; Kayla R. Duskin (CVPR Workshops, 2020)

Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election. - Stephen Prochaska; Kayla Duskin; Zarine Kharazian; Carly Minow; Stephanie Blucker; Sylvie Venuto; Jevin D. West; Kate Starbird (Proc. ACM Hum. Comput. Interact., 2023)

Stemming the Tide of Problematic Information in Online Environments: Assessing Interventions and Identifying Opportunities for Interruption. - Kayla Duskin (WebSci (Companion), 2024)

Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System. - Kayla Duskin; Joseph S. Schafer; Jevin D. West; Emma S. Spiro (WebSci, 2024)

ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms. - Joseph S. Schafer; Kayla Duskin; Stephen Prochaska; Morgan Wack; Anna Beers; Lia Bozarth; Taylor Agajanian; Mike Caulfield; Emma S. Spiro; Kate Starbird (CoRR, 2024)

Political Fact-Checking Efforts are Constrained by Deficiencies in Coverage, Speed, and Reach. - Morgan Wack; Kayla Duskin; Damian Hodel (CoRR, 2024)