Fake News Detection in Social Media: A Survey

Shijakova, Aneta and Kotevski, Zoran (2019) Fake News Detection in Social Media: A Survey. In: International conference on Applied Internet and Information Technologies, October 03-04, 2019, Zrenjanin, Serbia.

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Abstract

Contemporary communication technologies have revolutionized the way in which information is disseminated in the world, allowing unverified sources to generate “news”and influence the public opinionquite a bit. In recent years, reliability of information on the Internet has become a crucial issue of modern society, especiallythe content generated in social media. Fake news are even considered to have extremely negative effects on individuals and have a significant real-world political and social impacts. Because of the amount of disseminated information via social media, it is practically impossible to discern true from fake news. Thus, the possibilities for automated detection of fake news on social media has recently become an emerging research that is attracting tremendous attention.Since the issue of fake news detection in social media can be characterized as both challenging and relevant, in this paper we present a survey of the latest research covering this importantscientific field. We discuss the accomplishments of related research and their detection approaches and we conclude the paper with future expectations in automated fake news detection.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Zoran Kotevski
Date Deposited: 02 Sep 2022 08:43
Last Modified: 02 Sep 2022 08:43
URI: http://eprints.uklo.edu.mk/id/eprint/7077

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