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: https://eprints.uklo.edu.mk/id/eprint/7077

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