13 citations · 13 across the 3 of their papers we have counts for
6 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…
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.…
Learning to Characterize Matching Experts
Roee Shraga, Ofra Amir, Avigdor Gal
Matching is a task at the heart of any data integration process, aimed at identifying correspondences among data elements. Matching problems were traditionally solved in a semi-aut…
Exploring Computational User Models for Agent Policy Summarization
Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez +1
AI agents are being developed to support high stakes decision-making processes from driving cars to prescribing drugs, making it increasingly important for human users to understan…
Efficient Crowdsourcing via Proxy Voting
Gal Cohensius, Omer Ben Porat, Reshef Meir +1
Crowdsourcing platforms offer a way to label data by aggregating answers of multiple unqualified workers. We introduce a \textit{simple} and \textit{budget efficient} crowdsourcing…