331 citations · 896 across the 27 of their papers we have counts for
6 papers · 1 filter
Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign
Hana Matatov, Mor Naaman, Ofra Amir
Images are powerful. Visual information can attract attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the…
Estimating Exposure to Information on Social Networks
Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman +1
This paper considers the problem of estimating exposure to information in a social network. Given a piece of information (e.g., a URL of a news article on Facebook, a hashtag on Tw…
Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire…
Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media
Hana Matatov, Mor Naaman, Ofra Amir
The massive spread of visual content through the web and social media poses both challenges and opportunities. Tracking visually-similar content is an important task for studying a…
Characterizing Alternative Monetization Strategies on YouTube
Yiqing Hua, Manoel Horta Ribeiro, Robert West +2
One of the key emerging roles of the YouTube platform is providing creators the ability to generate revenue from their content and interactions. Alongside tools provided directly b…
Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy Theories
Kristen Engel, Yiqing Hua, Taixiang Zeng +1
Widespread conspiracy theories may significantly impact our society. This paper focuses on the QAnon conspiracy theory, a consequential conspiracy theory that started on and dissem…