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5 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…
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…
VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter
Anton Abilov, Yiqing Hua, Hana Matatov +2
The wide spread of unfounded election fraud claims surrounding the U.S. 2020 election had resulted in undermining of trust in the election, culminating in violence inside the U.S.…
When Do People Trust Their Social Groups?
Xiao Ma, Justin Cheng, Shankar Iyer +1
Trust facilitates cooperation and supports positive outcomes in social groups, including member satisfaction, information sharing, and task performance. Extensive prior research ha…
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds
Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen
This paper deals with the statistical signal pro- cessing over graphs for tracking infection diffusion in social networks. Infection (or Information) diffusion is modeled using the…