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A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia

Author

Listed:
  • Ashwag Alasmari

    (Computer Science Department, King Khalid University, Abha 62529, Saudi Arabia
    These authors contributed equally to this work.)

  • Aseel Addawood

    (Information System Department, Imam Mohammad Bin Saud University, Riyadh 11564, Saudi Arabia
    These authors contributed equally to this work.)

  • Mariam Nouh

    (Center for Complex Engineering Systems (CCES) at KACST and MIT, King Abdulaziz City for Science and Technology, Riyadh 12354, Saudi Arabia)

  • Wajanat Rayes

    (Department of Information Science, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Areej Al-Wabil

    (College of Engineering, Alfaisal University, Riyadh 11533, Saudi Arabia)

Abstract

COVID-19 has had broad disruptive effects on economies, healthcare systems, governments, societies, and individuals. Uncertainty concerning the scale of this crisis has given rise to countless rumors, hoaxes, and misinformation. Much of this type of conversation and misinformation about the pandemic now occurs online and in particular on social media platforms like Twitter. This study analysis incorporated a data-driven approach to map the contours of misinformation and contextualize the COVID-19 pandemic with regards to socio-religious-political information. This work consists of a combined system bridging quantitative and qualitative methodologies to assess how information-exchanging behaviors can be used to minimize the effects of emergent misinformation. The study revealed that the social media platforms detected the most significant source of rumors in transmitting information rapidly in the community. It showed that WhatsApp users made up about 46% of the source of rumors in online platforms, while, through Twitter, it demonstrated a declining trend of rumors by 41%. Moreover, the results indicate the second-most common type of misinformation was provided by pharmaceutical companies; however, a prevalent type of misinformation spreading in the world during this pandemic has to do with the biological war. In this combined retrospective analysis of the study, social media with varying approaches in public discourse contributes to efficient public health responses.

Suggested Citation

  • Ashwag Alasmari & Aseel Addawood & Mariam Nouh & Wajanat Rayes & Areej Al-Wabil, 2021. "A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia," Future Internet, MDPI, vol. 13(10), pages 1-15, September.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:10:p:254-:d:647342
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    References listed on IDEAS

    as
    1. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
    2. Jari Jussila & Anu Helena Suominen & Atte Partanen & Tapani Honkanen, 2021. "Text Analysis Methods for Misinformation–Related Research on Finnish Language Twitter," Future Internet, MDPI, vol. 13(6), pages 1-16, June.
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    Cited by:

    1. Viral Tolia & Rajkumar Renin Singh & Sameer Deshpande & Anupama Dave & Raju M. Rathod, 2022. "Understanding Factors to COVID-19 Vaccine Adoption in Gujarat, India," IJERPH, MDPI, vol. 19(5), pages 1-21, February.

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