activity
20192024
most citedReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

189 citations · 296 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2024★ 16 cited

Customized large language models can outperform Community Notes in correcting misinformation

Xinyi Zhou, Ashish Sharma, Amy X. Zhang +1

Addressing misinformation in real-world settings is challenging: content is often multimodal; factuality judgments are nuanced and context-dependent; new events emerge rapidly acro…

cs.CL2023★ 5 cited

Linguistic-style-aware Neural Networks for Fake News Detection

Xinyi Zhou, Jiayu Li, Qinzhou Li +1

We propose the hierarchical recursive neural network (HERO) to predict fake news by learning its linguistic style, which is distinguishable from the truth, as psychological theorie…

cs.SI2022★ 1 cited

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…

cs.SI2022★ 31 cited

"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…

cs.SI2020★ 3 cited

CHECKED: Chinese COVID-19 Fake News Dataset

Chen Yang, Xinyi Zhou, Reza Zafarani

COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain CO…

cs.SI2020★ 189 cited

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…

cs.SI2020★ 1 cited

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…

cs.CL2019

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…

cs.SI2019★ 17 cited

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…

cs.SI2019★ 17 cited

The Role of User Profile for Fake News Detection

Kai Shu, Xinyi Zhou, Suhang Wang +2

Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, s…

cs.CL2019★ 16 cited

Fake News Early Detection: An Interdisciplinary Study

Xinyi Zhou, Atishay Jain, Vir V. Phoha +1

Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed no…