48 citations · 171 across the 23 of their papers we have counts for
26 papers
On the Effectiveness of Fact Checking Information from Politically Congruent and Incongruent Large Language Models
Jiangen He, Benjamin D Horne, Dorit Nevo
Social media companies have shifted away from human fact-checkers and instead have embedded conversational Large Language Models (LLM) on their platforms. LLM chatbots differ from…
NELA-PS: A Dataset of Pink Slime News Articles for the Study of Local News Ecosystems
Benjamin D. Horne, Maurício Gruppi
Pink slime news outlets automatically produce low-quality, often partisan content that is framed as authentic local news. Given that local news is trusted by Americans and is incre…
Is disruption decreasing, or is it accelerating?
R. Alexander Bentley, Sergi Valverde, Joshua Borycz +4
A recent highly-publicized study by Park et al. (Nature 613: 138-144, 2023), claiming that science has become less disruptive over recent decades, represents an extraordinary achie…
Examining the Production of Co-active Channels on YouTube and BitChute
Matthew C. Childs, Benjamin D. Horne
A concern among content moderation researchers is that hard moderation measures, such as banning content producers, will push users to more extreme information environments. Resear…
A Psycho-linguistic Analysis of BitChute
Benjamin D. Horne
In order to better support researchers, journalist, and practitioners in their use of the MeLa-BitChute dataset for exploration and investigative reporting, we provide new psycho-l…
Characterizing YouTube and BitChute Content and Mobilizers During U.S. Election Fraud Discussions on Twitter
Matthew C. Childs, Cody Buntain, Milo Z. Trujillo +1
In this study, we characterize the cross-platform mobilization of YouTube and BitChute videos on Twitter during the 2020 U.S. Election fraud discussions. Specifically, we extend th…