189 citations · 256 across the 7 of their papers we have counts for
8 papers
From Fake News to #FakeNews: Mining Direct and Indirect Relationships among Hashtags for Fake News Detection
Xinyi Zhou, Reza Zafarani, Emilio Ferrara
The COVID-19 pandemic has gained worldwide attention and allowed fake news, such as ``COVID-19 is the flu,'' to spread quickly and widely on social media. Combating this coronaviru…
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Xinyi Zhou, Kai Shu, Vir V. Phoha +2
Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our ai…
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Xinyi Zhou, Apurva Mulay, Emilio Ferrara +1
First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been declared as a global emergency in January, and a pandemic in March 2020 by the World Health Or…
Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?
Xinyi Zhou, Shengmin Jin, Reza Zafarani
Most people consider their friends to be more positive than themselves, exhibiting a Sentiment Paradox. Psychology research attributes this paradox to human cognition bias. With th…
Credibility-based Fake News Detection
Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel +2
Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on…
Network-based Fake News Detection: A Pattern-driven Approach
Xinyi Zhou, Reza Zafarani
Fake news gains has gained significant momentum, strongly motivating the need for fake news research. Many fake news detection approaches have thus been proposed, where most of the…