45 citations · 94 across the 7 of their papers we have counts for
12 papers
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…
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…
Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Yiqing Hua, Armin Namavari, Kaishuo Cheng +2
Social media and other platforms rely on automated detection of abusive content to help combat disinformation, harassment, and abuse. One common approach is to check user content f…
Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
Maurice Jakesch, Kiran Garimella, Dean Eckles +1
Political organizations worldwide keep innovating their use of social media technologies. In the 2019 Indian general election, organizers used a network of WhatsApp groups to manip…
Artificial intelligence in communication impacts language and social relationships
Jess Hohenstein, Dominic DiFranzo, Rene F. Kizilcec +6
Artificial intelligence (AI) is now widely used to facilitate social interaction, but its impact on social relationships and communication is not well understood. We study the soci…
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.…