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Kayla Duskin
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- affiliation: Pacific Northwest National Laboratory, Richland, WA, USA
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2020 – today
- 2024
- [c4]Kayla Duskin, Joseph S. Schafer, Jevin D. West, Emma S. Spiro:
Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System. WebSci 2024: 11-21 - [c3]Kayla Duskin:
Stemming the Tide of Problematic Information in Online Environments: Assessing Interventions and Identifying Opportunities for Interruption. WebSci (Companion) 2024: 37-41 - [i2]Kayla Duskin, Joseph S. Schafer, Jevin D. West, Emma S. Spiro:
Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System. CoRR abs/2404.06422 (2024) - [i1]Joseph S. Schafer, Kayla Duskin, Stephen Prochaska, Morgan Wack, Anna Beers, Lia Bozarth, Taylor Agajanian, Mike Caulfield, Emma S. Spiro, Kate Starbird:
ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms. CoRR abs/2407.16051 (2024) - 2023
- [j1]Stephen Prochaska, Kayla Duskin, Zarine Kharazian, Carly Minow, Stephanie Blucker, Sylvie Venuto, Jevin D. West, Kate Starbird:
Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-39 (2023) - 2020
- [c2]Jeremiah Rounds, Addie Kingsland, Michael J. Henry, Kayla R. Duskin:
Probing for Artifacts: Detecting Imagenet Model Evasions. CVPR Workshops 2020: 3432-3441
2010 – 2019
- 2018
- [c1]Katherine Porterfield, Leslie M. Blaha, Jonathan Suter, Johnathan Cree, Gianluca Longoni, Jesse M. Johns, Gerges Dib, Kayla Duskin:
A deep learning approach to training a brain activity-based trial-by-trial classifier for rapid serial visual presentation imagery. CogSci 2018
Coauthor Index
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last updated on 2024-08-20 20:27 CEST by the dblp team
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