IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16849-d1004163.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16849/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/24/16849/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    3. Tifferet, Sigal, 2021. "Verifying online information: Development and validation of a self-report scale," Technology in Society, Elsevier, vol. 67(C).
    4. Hunt Allcott & Matthew Gentzkow & Chuan Yu, 2019. "Trends in the Diffusion of Misinformation on Social Media," NBER Working Papers 25500, National Bureau of Economic Research, Inc.
    5. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    6. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, vol. 1(1), pages 3-49, March.
    7. Pasquariello, Paolo, 2007. "Informative trading or just costly noise? An analysis of Central Bank interventions," Journal of Financial Markets, Elsevier, vol. 10(2), pages 107-143, May.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    2. Michele Cantarella & Nicolo' Fraccaroli & Roberto Volpe, 2019. "Does fake news affect voting behaviour?," Department of Economics 0146, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    3. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    4. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    5. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    6. Andrew P. Weiss & Ahmed Alwan & Eric P. Garcia & Antranik T. Kirakosian, 2021. "Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information," Societies, MDPI, vol. 11(3), pages 1-17, July.
    7. Błoński Krzysztof, 2023. "Analysis of Citations and Co-Citations of the Term ‘Word of Mouth’ Based on Publications in the Field of Social Sciences," Marketing of Scientific and Research Organizations, Sciendo, vol. 28(2), pages 111-133, June.
    8. Raúl Rodríguez-Ferrándiz & Cande Sánchez-Olmos & Tatiana Hidalgo-Marí & Estela Saquete-Boro, 2021. "Memetics of Deception: Spreading Local Meme Hoaxes during COVID-19 1st Year," Future Internet, MDPI, vol. 13(6), pages 1-19, June.
    9. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
    10. Jost, Peter J. & Pünder, Johanna & Schulze-Lohoff, Isabell, 2020. "Fake news - Does perception matter more than the truth?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    11. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Artem Zakharchenko & Tomáš Peráček & Solomiia Fedushko & Yuriy Syerov & Olha Trach, 2021. "When Fact-Checking and ‘BBC Standards’ Are Helpless: ‘Fake Newsworthy Event’ Manipulation and the Reaction of the ‘High-Quality Media’ on It," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    13. Ryan C. Moore & Ross Dahlke & Jeffrey T. Hancock, 2023. "Exposure to untrustworthy websites in the 2020 US election," Nature Human Behaviour, Nature, vol. 7(7), pages 1096-1105, July.
    14. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
    15. Giancarlo Ruffo & Alfonso Semeraro, 2022. "FakeNewsLab: Experimental Study on Biases and Pitfalls Preventing Us from Distinguishing True from False News," Future Internet, MDPI, vol. 14(10), pages 1-24, September.
    16. Christopher Adamo & Jeffrey Carpenter, 2023. "Sentiment and the belief in fake news during the 2020 presidential primaries," Oxford Open Economics, Oxford University Press, vol. 2, pages 512-547.
    17. Yesilada, Muhsin & Lewandowsky, Stephan, 2022. "Systematic review: YouTube recommendations and problematic content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 11(1), pages 1-22.
    18. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    19. Giacomo Manetti & Carmela Nitti & Marco Bellucci, 2022. "The accountability of Search and Rescue NGOs," Working Papers - Business wp2022_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    20. Ka Chung Ng & Ping Fan Ke & Mike K. P. So & Kar Yan Tam, 2023. "Augmenting fake content detection in online platforms: A domain adaptive transfer learning via adversarial training approach," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2101-2122, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16849-:d:1004163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.