1 code implementation • 7 Jan 2023 • Xinyi Zhou, Jiayu Li, Qinzhou Li, Reza Zafarani
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 theories reveal.
no code implementations • 20 Nov 2022 • 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.
no code implementations • 9 Feb 2022 • Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
To distinguish between intentional versus unintentional spreading, we study the psychological explanations of unintentional spreading.
1 code implementation • 18 Oct 2020 • Chen Yang, Xinyi Zhou, Reza Zafarani
Also, misinformation on COVID-19 is frequently spread on social media.
1 code implementation • 9 Jun 2020 • Xinyi Zhou, Apurva Mulay, Emilio Ferrara, Reza Zafarani
Along with this pandemic, we are also experiencing an "infodemic" of information with low credibility such as fake news and conspiracies.
1 code implementation • 19 Feb 2020 • Xinyi Zhou, Jindi Wu, Reza Zafarani
Current studies have made significant contributions to predicting fake news with less focus on exploiting the relationship (similarity) between the textual and visual information in news articles.
no code implementations • 2 Nov 2019 • Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani
By analyzing public fake news data, we show that information on news sources (and authors) can be a strong indicator of credibility.
no code implementations • 30 Apr 2019 • Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
In an attempt to understand connections between user profiles and fake news, first, we measure users' sharing behaviors on social media and group representative users who are more likely to share fake and real news; then, we perform a comparative analysis of explicit and implicit profile features between these user groups, which reveals their potential to help differentiate fake news from real news.
no code implementations • 26 Apr 2019 • Xinyi Zhou, Atishay Jain, Vir V. Phoha, Reza Zafarani
Experiments conducted on two real-world datasets indicate the proposed method can outperform the state-of-the-art and enable fake news early detection when there is limited content information.
no code implementations • 2 Dec 2018 • Xinyi Zhou, Reza Zafarani
The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news analysis, detection and intervention.
no code implementations • 12 Feb 2018 • Reza Zafarani, Sara Eftekharnejad, Urvi Patel
The major challenge for integrating photovoltaic systems in power systems is the unpredictability of the solar power generated.