48 citations · 171 across the 23 of their papers we have counts for
13 papers · 1 filter
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…
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…
NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems
Benjamin D. Horne, Maurício Gruppi, Kenneth Joseph +3
In this paper, we present a dataset of over 1.4M online news articles from 313 local U.S. news outlets published over 20 months (between April 4th, 2020 and December 31st, 2021). T…
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between…
What is BitChute? Characterizing the "Free Speech" Alternative to YouTube
Milo Trujillo, Maurício Gruppi, Cody Buntain +1
In this paper, we characterize the content and discourse on BitChute, a social video-hosting platform. Launched in 2017 as an alternative to YouTube, BitChute joins an ecosystem of…