IDEAS home Printed from https://ideas.repec.org/a/rfa/smcjnl/v11y2023i6p208-221.html
   My bibliography  Save this article

Fake News as Disruptive Media: A Digital Age Challenge in Nigeria

Author

Listed:
  • Osakue Stevenson Omoera
  • Temple Uwalaka

Abstract

The Nigerian media space is flooded with fake news, which has become the bane of digital journalism in today’s world. This is occasioned by the emergence of online media platforms and news blogs in Nigeria that appears to have created a situation where everyone can lay claim to being a ‘digital journalist’ and spreads news stories that get circulated instantaneously whether factual or not. This study uses case analysis, and historicocritical methods to examine purposively selected fake news cases disseminated on social media that concern socio-political, socio-economic, and socio-cultural themes about Nigerians or Nigeria posted between 2017 and 2021. We found that fake news is rife in Nigeria and is increasingly becoming a sub-culture among the people. The article recommends a reorientation of Nigerians to do more critical thinking and to improve their digital media literacy in order not to fall prey to purveyors of fake news.

Suggested Citation

  • Osakue Stevenson Omoera & Temple Uwalaka, 2023. "Fake News as Disruptive Media: A Digital Age Challenge in Nigeria," Studies in Media and Communication, Redfame publishing, vol. 11(6), pages 208-221, September.
  • Handle: RePEc:rfa:smcjnl:v:11:y:2023:i:6:p:208-221
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/smc/article/download/6240/6229
    Download Restriction: no

    File URL: https://redfame.com/journal/index.php/smc/article/view/6240
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. 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.
    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. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    2. repec:spo:wpmain:info:hdl:2441/3tcpvf3sd399op9sgtn8tq5bhd is not listed on IDEAS
    3. Suvodeep Mazumdar & Dhavalkumar Thakker, 2020. "Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks," Future Internet, MDPI, vol. 12(12), pages 1-22, November.
    4. Apostolos Filippas & John Horton, 2021. "The Production and Consumption of Social Media," Papers 2104.00834, arXiv.org.
    5. Leonardo Bursztyn & Georgy Egorov & Ruben Enikolopov & Maria Petrova, 2019. "Social Media and Xenophobia: Evidence from Russia," NBER Working Papers 26567, National Bureau of Economic Research, Inc.
    6. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," Working Papers hal-03393171, HAL.
    7. Donati, Dante, 2023. "Mobile Internet access and political outcomes: Evidence from South Africa," Journal of Development Economics, Elsevier, vol. 162(C).
    8. Momsen, Katharina & Ohndorf, Markus, 2020. "Information Avoidance, Selective Exposure, and Fake(?) News - A Market Experiment," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224637, Verein für Socialpolitik / German Economic Association.
    9. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," Working Papers hal-03393171, HAL.
    10. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    11. Jyoti Prakash Singh & Abhinav Kumar & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets," Information Systems Frontiers, Springer, vol. 24(2), pages 459-474, April.
    12. Daria Gritsenko & Matthew Wood, 2022. "Algorithmic governance: A modes of governance approach," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 45-62, January.
    13. Ozan Candogan & Kimon Drakopoulos, 2020. "Optimal Signaling of Content Accuracy: Engagement vs. Misinformation," Operations Research, INFORMS, vol. 68(2), pages 497-515, March.
    14. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    15. Yasuko Kawahata, 2024. "Entanglement: Balancing Punishment and Compensation, Repeated Dilemma Game-Theoretic Analysis of Maximum Compensation Problem for Bypass and Least Cost Paths in Fact-Checking, Case of Fake News with W," Papers 2403.02342, arXiv.org, revised Apr 2024.
    16. Barrera, Oscar & Guriev, Sergei & Henry, Emeric & Zhuravskaya, Ekaterina, 2020. "Facts, alternative facts, and fact checking in times of post-truth politics," Journal of Public Economics, Elsevier, vol. 182(C).
    17. Leila Lefi & Sarra Sghaier, 2024. "Investigating the Dark Side of Social Media Marketing: Case of Cyberbullying on Micro Celebrities," International Review of Management and Marketing, Econjournals, vol. 14(2), pages 13-22, March.
    18. Yiting Deng & Richard Staelin, 2024. "Modeling misinformation spread for policy evaluation: a parsimonious framework," Marketing Letters, Springer, vol. 35(4), pages 635-649, December.
    19. Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
    20. Nitin Verma & Kenneth R. Fleischmann & Le Zhou & Bo Xie & Min Kyung Lee & Kate Rich & Kristina Shiroma & Chenyan Jia & Tara Zimmerman, 2022. "Trust in COVID‐19 public health information," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1776-1792, December.
    21. Ryan Suttle & Scott Hogan & Rachel Aumaugher & Matthew Spradling & Zak Merrigan & Jeremy Straub, 2022. "Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities," Data, MDPI, vol. 7(3), pages 1-10, February.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:rfa:smcjnl:v:11:y:2023:i:6:p:208-221. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.