1 citations · 2 across the 2 of their papers we have counts for
3 papers
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 +2
Social media platforms shape users' experiences through the algorithmic systems they deploy. In this study, we examine to what extent Twitter's content recommender, in conjunction…
ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms
Joseph S Schafer, Kayla Duskin, Stephen Prochaska +7
Understanding the spread of online rumors is a pressing societal challenge and an active area of research across domains. In the context of the 2022 U.S. midterm elections, one inf…
Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System
Kayla Duskin, Joseph S. Schafer, Jevin D. West +1
The presence of political misinformation and ideological echo chambers on social media platforms is concerning given the important role that these sites play in the public's exposu…