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Published in:
2021 | OriginalPaper | Chapter
Fake News and Social Processes: A Short Review
Author : Girish Keshav Palshikar
Published in: Data Science for Fake News
Publisher: Springer International Publishing
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The explosive growth in social media, social networking, and messaging platforms has seen the emergence of many undesirable social phenomena. A common thread among many of these social behaviors is disinformation propagation, through falsehoods of many shades and grades that are quickly propagated to millions of people. In this chapter, we focus on disinformation propagation mainly in the garb of fake news, which contains deceptive, distorted, malicious, biased, polarizing, inaccurate, unreliable, unsubstantiated, and unverified or completely false or fabricated information. We examine the literature related to the sociological analysis of the fake news phenomenon and its impact on social processes such as elections and vaccination. We also outline directions for further research.