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A Systematic Review for Netizens' Response to the Truth Manipulation on Social Media
- Source :
-
Knowledge Management & E-Learning . Jun 2023 15(2):322-342. - Publication Year :
- 2023
-
Abstract
- The manipulated or manufactured truth on social media platforms spreads false information to influence netizens' cognition, often resulting in fabricated social and political narratives. This study systematically reviews the literature on truth manipulation and its impact on the cognition of social media users. The primary focus is on disinformation, misinformation, fake news, and propaganda. The study appraises 162 peer-reviewed publications indexed in the Web of Science Core Collection database using the systematic review method. The data was put through a bibliometric analysis to unpack the evolutionary nuances of netizens' cognitive response to manufactured truth, informativity, and manipulation on social media. The study highlights emerging trends and issues from truth manipulation on social media. The bibliometric analysis reveals since 2017, there has been an increase in the trend of scholarly work about truth manipulation on social media and its effects on the cognition of netizens. The USA seems to be the most prominent node to contribute to the study of truth manipulation. The content analysis shows multiple aspects causing truth manipulation. This study also seeks ways and methods to prevent and counter truth manipulation on social media. It looks at the possibilities of altering netizens' cognitive abilities by improving their critical social media literacies through fact-checking. The study results show that knowledge gaps persist in truth manipulation on social media and the cognitional aspects in response to fabricated narratives. We emphasize the importance of further investigations in this domain.
Details
- Language :
- English
- ISSN :
- 2073-7904
- Volume :
- 15
- Issue :
- 2
- Database :
- ERIC
- Journal :
- Knowledge Management & E-Learning
- Publication Type :
- Academic Journal
- Accession number :
- EJ1394644
- Document Type :
- Journal Articles<br />Information Analyses