185 citations · 268 across the 6 of their papers we have counts for
8 papers
Exploiting the Right: Inferring Ideological Alignment in Online Influence Campaigns Using Shared Images
Amogh Joshi, Cody Buntain
This work advances investigations into the visual media shared by agents in disinformation campaigns by characterizing the images shared by accounts identified by Twitter as being…
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…
The MeLa BitChute Dataset
Milo Trujillo, Maurício Gruppi, Cody Buntain +1
In this paper we present a near-complete dataset of over 3M videos from 61K channels over 2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a…
Examining Similar and Ideologically Correlated Imagery in Online Political Communication
Amogh Joshi, Cody Buntain
This paper investigates visual media shared by US national politicians on Twitter, how a politician's variety of image types shared reflects their political position, and identifie…
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…
YouTube Recommendations and Effects on Sharing Across Online Social Platforms
Cody Buntain, Richard Bonneau, Jonathan Nagler +1
In January 2019, YouTube announced it would exclude potentially harmful content from video recommendations but allow such videos to remain on the platform. While this step intends…
Automatically Identifying Fake News in Popular Twitter Threads
Cody Buntain, Jennifer Golbeck
Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake n…
Learning to Discover Key Moments in Social Media Streams
Cody Buntain, Jimmy Lin, Jennifer Golbeck
This paper introduces LABurst, a general technique for identifying key moments, or moments of high impact, in social media streams without the need for domain-specific information…