Kayla Duskin

According to our database, Kayla Duskin authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement.

Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng

CoRR, March, 2026

2025

Rabble-Rousers in the New King's Court: Algorithmic Effects on Account Visibility in Pre-X Twitter.

Alexandros Efstratiou, Kayla Duskin, Kate Starbird, Emma S. Spiro

CoRR, December, 2025

The Role of Follow Networks and Twitter's Content Recommender on Partisan Skew and Rumor Exposure during the 2022 U.S. Midterm Election.

Kayla Duskin, Joseph S. Schafer, Alexandros Efstratiou, Jevin D. West, Emma S. Spiro

CoRR, September, 2025

2024

Political Fact-Checking Efforts are Constrained by Deficiencies in Coverage, Speed, and Reach.

Morgan Wack, Kayla Duskin, Damian Hodel

CoRR, 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

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

Proceedings of the 16th ACM Web Science Conference, 2024

Stemming the Tide of Problematic Information in Online Environments: Assessing Interventions and Identifying Opportunities for Interruption.

Kayla Duskin

Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

2023

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., April, 2023

2020

Probing for Artifacts: Detecting Imagenet Model Evasions.

Jeremiah Rounds, Addie Kingsland, Michael J. Henry, Kayla R. Duskin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

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

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018