Infodemic in a Pandemic Era: An Analysis of Twitter Misinformation on COVID-19 in Nigeria
Keywords:
Infodemic, Corona VirusAbstract
Using content analysis, the researchers content-analysed Twitter content on COVID-19 from
January 2021 to march 2021. Coding sheet was used as the instrument of data collection. The
technological determinism theory was used by the researchers to situate the study. The population
of the study was 620 tweets on Twitter platform for the three months. The researchers found that
majority of the tweets on misinformation on coronavirus originated from individuals with
unverified handles. This is based on the fact that 54.7% of the tweets were from individuals. The
researchers, therefore, recommended that social media organisations should device a way to track
and remove blatant misinformation from trending searches or introduce a new reporting feature
for users to flag misinformation as they come across it.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Okolie Kosisochukwu Shirley, Odionyenma Chimeremeze Uzondu, Cynthia Chiamaka Onyebuchi, Alexander Chima Onyebuchi, PhD, Eteng-Martins Chioma

This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Under this license, users are free to:
• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material for any purpose
Under the following terms:
• Attribution — appropriate credit must be given to the author(s) and the journal as the original source of publication.
