14 citations · 40 across the 4 of their papers we have counts for
8 papers
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…
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.…
Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates
Yiqing Hua, Mor Naaman, Thomas Ristenpart
Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarial…
Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections
Yiqing Hua, Thomas Ristenpart, Mor Naaman
Adversarial interactions against politicians on social media such as Twitter have significant impact on society. In particular they disrupt substantive political discussions online…
Understanding BERT performance in propaganda analysis
Yiqing Hua
In this paper, we describe our system used in the shared task for fine-grained propaganda analysis at sentence level. Despite the challenging nature of the task, our pretrained BER…
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli +3
We present a corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the…