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Fake News and Social Processes: A Short Review

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Data Science for Fake News

Part of the book series: The Information Retrieval Series ((INRE,volume 42))

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Abstract

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.

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Authors and Affiliations

  1. TCS Research, Tata Consultancy Services Ltd., Pune, India

    Girish Keshav Palshikar

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  1. Girish Keshav Palshikar
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Correspondence to Girish Keshav Palshikar .

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Palshikar, G.K. (2021). Fake News and Social Processes: A Short Review. In: Data Science for Fake News. The Information Retrieval Series, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-030-62696-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-62696-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62695-2

  • Online ISBN: 978-3-030-62696-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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