3 citations · 4 across the 4 of their papers we have counts for
5 papers
Researchers waste 80% of LLM annotation costs by classifying one text at a time
Christian Pipal, Eva-Maria Vogel, Morgan Wack +1
Large language models (LLMs) are increasingly being used for text classification across the social sciences, yet researchers overwhelmingly classify one text per variable per promp…
The Laziness of the Crowd: Effort Aversion Among Raters Risks Undermining the Efficacy of X's Community Notes Program
Morgan Wack, Patrick Warren, Mustafa Alam
Crowdsourced moderation systems like Twitter/X's Community Notes program have been proposed as scalable alternatives to professional fact-checkers for combating online misinformati…
Political Fact-Checking Efforts are Constrained by Deficiencies in Coverage, Speed, and Reach
Morgan Wack, Kayla Duskin, Damian Hodel
Fact-checking has been promoted as a key method for combating political misinformation. Comparing the spread of election-related misinformation narratives along with their relevant…
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…
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election
Andrew Beers, Joseph S. Schafer, Ian Kennedy +3
The 2020 United States presidential election was, and has continued to be, the focus of pervasive and persistent mis- and disinformation spreading through our media ecosystems, inc…