Evaluation of UNN Students Awareness, Knowledge and Perception of Fake News Detection Algorithms in Detecting Online Fake News.

  • Ajonina Mbong Kelly University of Nigeria, Nsukka
  • Chinwe Okpoko University of Nigeria, Nsukka
Keywords: fake news, misinformation, online space, perception, students

Abstract

This study sought to assess students’ awareness, knowledge and perception of fake news detection algorithm in detecting fake news online fake news. The objectives of the study were to examine the Awareness, knowledge and perception of the students on fake news detection algorithm in detecting fake news online. The study adopted a quantitative research through survey technique. Using Chochran sampling size determinant, a sample size of 384 was drawn from the population of 36, 000 undergraduate students of University of Nigeria using a multi stage technique sampling technique. Questionnaire was used to elicit response from the students. The study found out that students are aware and knowledgeable about fake news detection algorithm in detecting fake news online. And their perception is positive and favourable. Among others, the study recommends that audience should cultivate and maintain the habit of factchecking news stories online to avoid being misinformed by the eggs of impunity of online spaces.

Author Biographies

Ajonina Mbong Kelly, University of Nigeria, Nsukka

Department of Mass Communication

Chinwe Okpoko, University of Nigeria, Nsukka

Department of Mass Communication

Published
2024-02-19
How to Cite
Kelly, A. M., & Okpoko, C. (2024). Evaluation of UNN Students Awareness, Knowledge and Perception of Fake News Detection Algorithms in Detecting Online Fake News. ESUT JOURNAL OF SOCIAL SCIENCES, 9(1). Retrieved from https://esutjss.com/index.php/ESUTJSS/article/view/184
Section
Articles

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