Zoom Out and Observe: News Environment Perception for Fake News Detection

Xueyao Zhang, Qiang Sheng, Juan Cao, Danding Wang, Yongchun Zhu, Rundong Li

arXiv · PDF · Open in the Atlas

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Abstract

Fake news detection is crucial for preventing the dissemination of misinformation on social media. To differentiate fake news from real ones, existing methods observe the language patterns of the news post and "zoom in" to verify its content with knowledge sources or check its readers' replies. However, these methods neglect the information in the external news environment where a fake news post is created and disseminated. The news environment represents recent mainstream media opinion and public attention, which is an important inspiration of fake news fabrication because fake news is often designed to ride the wave of popular events and catch public attention with unexpected novel content for greater exposure and spread. To capture the environmental signals of news posts, we "zoom out" to observe the news environment and propose the News Environment Perception Framework (NEP). For each post, we construct its macro and micro news environment from recent mainstream news. Then we design a popularity-oriented and a noveltyoriented module to perceive useful signals and further assist final prediction. Experiments on our newly built datasets show that the NEP can efficiently improve the performance of basic fake news detectors. 1 * * Corresponding author. 1 https://github.com/ICTMCG/ News-Environment-Perception/ POST: Syria announced a 48-hour ceasefire to celebrate the win over China Men's National Football Team. Horse-head statue of Old Summer Palace comes home. Hong Kong has announced that all schools will be closed on Thursday. Syria beat China 2-1 in 2022 FIFA World Cup qualifier. p Wu Lei had a shot in the 29th minute of the first half. Two pneumonic plague cases reported in Beijing. Snow Dragon 2 sailed through 60°S for the first time. A Zhang Linpeng's own goal gifted Syria a 2-1 win.

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