Cody L. Buntain
Cody Buntain is an Assistant Professor with the University of Maryland College of Information Studies. Buntain is also a former postdoctoral fellow at NYU’s Center for Social Media and Politics. His recent publications include papers on influencing credibility assessment in social media, consistencies in social media’s response to crises, and characterizing gender and directedness in online harassment.
His primary research areas exist at the intersection of data science in social media and the social sciences, specifically how individuals engage socially and politically and respond to crises and disasters in online spaces. Currently, he is studying cross-platform information flows, temporal evolution/politicization of topics, misinformation, and information/interaction quality.
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Related Research & News
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Journal Article
YouTube Recommendations and Effects on Sharing Across Online Social Platforms
Proceedings of the ACM on Human-Computer Interaction, 2021
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Working Paper
Measuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement Data
Working Paper, January 2021
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Analysis
Are Influence Campaigns Trolling Your Social Media Feeds?
Now, there are ways to find out. New data shows that machine learning can identify content created by online political influence operations.
October 13, 2020
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Journal Article
Content-Based Features Predict Social Media Influence Operations
Science Advances, 2020
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Journal Article
Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube During the 2016 U.S. Presidential Election
The International Journal of Press/Politics, 2020