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Fighting Against Fake News During Pandemic Era: Does Providing Related News Help Student Internet Users to Detect COVID-19 Misinformation?

  • Borhan Uddin
    ,
  • Nahid Reza
    ,
  • Md Saiful Islam
    ,
  • ,
  • Mohammad Ruhul Amin
  • Shahjalal University of Science and Technology
    ,
  • Fordham University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 22/06/2021

Publication status

Published - 22/06/2021

Publisher

Association for Computing Machinery, United States

ISBN (Electronic)

9781450383301

Publication IDs

  • Scopus: 85109026341

Host publication title

WebSci 2021: 13th ACM Web Science Conference 2021

Abstract

The COVID-19 “infodemic” has resulted in the widespread dissemination of counterfeit medical advice, hoaxes, fake products, and phoney information about the virus and responses. As a result, computational methods for determining any information’s authenticity to improve trust in public health awareness and policy decisions are profoundly discussed in the scientific community. Even before the pandemic, mis- and disinformation, including fake news, have been observed in the online world in significant numbers for numerous business, political and personal reasons. Moreover, many of these fake news was published from sources believed to be reliable. In contrast, some other fake news was fabricated in a way that would be easily trusted and shared by the general people in social media. COVID-19 related fake news has enormous effects on both the offline and online community, and thus, it challenges government initiatives for proper health intervention. Therefore, interest in research in this area has risen to understand the problem both socially and technically. In this paper, we attempt to understand how we can help student Internet users of colleges from the lower-middle-income country, Bangladesh, in Southeast Asia, to distinguish COVID-19 misinformation. Our study reveals that providing related news as supplementary information to any online news helps students make better decision about news authenticity. Statistical analyses on the survey data show that male students were found to be more accurate than female students to detect mis- and disinformation; students from the urban areas could detect misleading news better than students from villages; and that students from Science background demonstrated overall best performance, while students from Madrasah background, who are all male, could not produce a significant improvement. We conclude that the female students in general and male students of Madrasah, who spend the least amount of time online among all the student Internet users, are the most vulnerable groups to fake news.

Publication metrics

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Captures
57
Citations
9

Related Event

Title

Conference on Web Science

Event type

Conference

Date

21/06/2021 - 25/06/2025

Location

VIRTUAL