Infodemic in a Pandemic Era: An Analysis of Twitter Misinformation on COVID-19 in Nigeria

  • Okolie Kosisochukwu Shirley Department of Mass Communication Imo State University, Owerri, Nigeria
  • Odionyenma Chimeremeze Uzondu Department of Mass Communication Imo State University, Owerri, Nigeria
  • Cynthia Chiamaka Onyebuchi Department of Mass Communication Imo State University, Owerri, Nigeria
  • Alexander Chima Onyebuchi, PhD Department of Mass Communication Imo State University, Owerri, Nigeria
  • Eteng-Martins Chioma Department of Mass Communication Imo State University, Owerri, Nigeria

Abstract

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.

Author Biographies

Odionyenma Chimeremeze Uzondu, Department of Mass Communication Imo State University, Owerri, Nigeria



Eteng-Martins Chioma, Department of Mass Communication Imo State University, Owerri, Nigeria



Published
2021-10-04
How to Cite
SHIRLEY, Okolie Kosisochukwu et al. Infodemic in a Pandemic Era: An Analysis of Twitter Misinformation on COVID-19 in Nigeria. SAU JOURNAL OF MANAGEMENT AND SOCIAL SCIENCES, [S.l.], v. 6, n. 2, p. 177-184, oct. 2021. Available at: <https://journals.sau.edu.ng/index.php/sjmas/article/view/342>. Date accessed: 22 oct. 2021.