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

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


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 novelty-oriented 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.
Anthology ID:
2022.acl-long.311
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4543–4556
Language:
URL:
https://aclanthology.org/2022.acl-long.311
DOI:
10.18653/v1/2022.acl-long.311
Bibkey:
Cite (ACL):
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu. 2022. Zoom Out and Observe: News Environment Perception for Fake News Detection. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4543–4556, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Zoom Out and Observe: News Environment Perception for Fake News Detection (Sheng et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.311.pdf
Code
 ictmcg/news-environment-perception