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Disinformation: A Bibliometric Review

Author

Listed:
  • Shixiong Wang

    (Library, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Fangfang Su

    (College of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Lu Ye

    (College of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Yuan Jing

    (Library, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract

Objectives: This paper aimed to provide a systematic review of relevant articles from the perspectives of literature distribution, research hotspots, and existing results to obtain the frontier directions in the field of disinformation. Methods: We analyzed disinformation publications published between 2002 and 2021 using bibliometric methods based on the Web of Science. There were 5666 papers analyzed using Derwent Data Analyzer (DDA). Results: The result shows that the USA was the most influential country in this area, while Ecker and Lewandowsky from the University of Western Australia published the largest volumes of papers. Keywords such as “social media”, “COVID-19”, and “vaccination” have gained immense popularity recently. Conclusions: We summarized four themes that are of the biggest concern to scholars: group heterogeneity of misinformation in memory, disinformation mechanism in social media, public health related to COVID-19, and application of big data technology in the infodemic. The future agenda of disinformation is summarized from three aspects: the mechanism of disinformation, social media users, and the application of algorithms. This work can be a meaningful resource for researchers’ study in the area of disinformation.

Suggested Citation

  • Shixiong Wang & Fangfang Su & Lu Ye & Yuan Jing, 2022. "Disinformation: A Bibliometric Review," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16849-:d:1004163
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    References listed on IDEAS

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    9. Donthu, Naveen & Kumar, Satish & Pandey, Neeraj & Pandey, Nitesh & Mishra, Akanksha, 2021. "Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis," Journal of Business Research, Elsevier, vol. 135(C), pages 758-773.
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    1. Khameneh, Ramin Talebi & Barker, Kash & Ramirez-Marquez, Jose Emmanuel, 2025. "A hybrid machine learning and simulation framework for modeling and understanding disinformation-induced disruptions in public transit systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    2. Nuria Navarro-Sierra & Silvia Magro-Vela & Raquel Vinader-Segura, 2024. "Research on Disinformation in Academic Studies: Perspectives through a Bibliometric Analysis," Publications, MDPI, vol. 12(2), pages 1-19, May.

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