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International Conference on Computational Data and Social Networks

CSoNet 2020: Computational Data and Social Networks pp 354–365Cite as

Multidimensional Analysis of Fake News Spreaders on Twitter

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12575))

Abstract

Social media has become a tool to spread false information with the help of its large complex network. The consequences of such misinformation could be very severe. The paper uses the Twitter conversations about the scrapping of Article 370 in India to differentiate the spreaders of fake news from the general spreaders. Various features were used for comparison such as bot usage, patterns and emotions in tweets posted by bots, heterogeneity among the spreaders, and geographic as well as demographic characteristics. The bots were found to be relatively more indulged in spreading fake tweets by conversing more through replies. The tweets related to bots engaged in spreading fake news are more emotionally loaded especially with anger, disgust and trust than tweets posted by any other bots. The people living outside India played a major role in the dissemination of fake news on Article 370. The social connections as well as demographic features do not distinguish the fake news spreaders on the platform, although the fewer number of older people were found among the fake news spreaders. This may help in automating the detection of fake news spreaders.

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Author information

Authors and Affiliations

  1. Indian Institute of Technology Ropar, Rupnagar, India

    Maneet Singh

  2. CSIR-Central Scientific Instruments Organization, Chandigarh, India

    Rishemjit Kaur

  3. Indian Institute of Technology Ropar, Rupnagar, India

    S. R. S. Iyengar

Authors
  1. Maneet Singh
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  2. Rishemjit Kaur
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  3. S. R. S. Iyengar
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Corresponding author

Correspondence to Maneet Singh .

Editor information

Editors and Affiliations

  1. University of South Florida, Tampa, FL, USA

    Sriram Chellappan

  2. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. New Jersey Institute of Technology, Newark, NJ, USA

    NhatHai Phan

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Singh, M., Kaur, R., Iyengar, S.R.S. (2020). Multidimensional Analysis of Fake News Spreaders on Twitter. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_29

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  • DOI: https://doi.org/10.1007/978-3-030-66046-8_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66045-1

  • Online ISBN: 978-3-030-66046-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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