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An organized review of key factors for fake news detection
arXiv - CS - Social and Information Networks Pub Date : 2021-02-26 , DOI: arxiv-2102.13433
Nuno Guimarães, Álvaro Figueira, Luís Torgo

Fake news in social media has quickly become one of the most discussed topics in today's society. With false information proliferating and causing a significant impact in the political, economical, and social domains, research efforts to analyze and automatically identify this type of content have being conducted in the past few years. In this paper, we attempt to summarize the principal findings on the topic of fake news in social media, highlighting the main research path taken and giving a particular focus on the detection of fake news and bot accounts.

中文翻译:

有组织地审查虚假新闻检测的关键因素

社交媒体中的虚假新闻已迅速成为当今社会讨论最多的话题之一。随着虚假信息的泛滥并在政治,经济和社会领域造成重大影响,过去几年中,人们进行了研究工作,以分析和自动识别此类内容。在本文中,我们尝试总结社交媒体中有关假新闻主题的主要发现,重点介绍所采取的主要研究路径,并特别关注假新闻和机器人帐户的检测。
更新日期:2021-03-01
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