103 citations · 121 across the 3 of their papers we have counts for
3 papers
cs.IR2020★ 2 cited
Machine Learning Explanations to Prevent Overtrust in Fake News Detection
Sina Mohseni, Fan Yang, Shiva Pentyala +6
Combating fake news and misinformation propagation is a challenging task in the post-truth era. News feed and search algorithms could potentially lead to unintentional large-scale…
cs.CY2019★ 103 cited
XFake: Explainable Fake News Detector with Visualizations
Fan Yang, Shiva K. Pentyala, Sina Mohseni +6
In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility. To effectively detect and interpret the fake…
cs.SI2019★ 16 cited
Open Issues in Combating Fake News: Interpretability as an Opportunity
Sina Mohseni, Eric Ragan, Xia Hu
Combating fake news needs a variety of defense methods. Although rumor detection and various linguistic analysis techniques are common methods to detect false content in social med…