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Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective

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  • M. Laeeq Khan
  • Ika Karlina Idris

Abstract

The menace of misinformation online has gained considerable media attention and plausible solutions for combatting misinformation have often been less than satisfactory. In an environment of ubiquitous online social sharing, we contend that it is the individuals that can play a major role in halting the spread of misinformation. We conducted a survey (n = 396) to illuminate the factors that predict (i) the perceived ability to recognise false information on social media, and (ii) the behaviour of sharing of information without verification. A set of regression analyses reveal that the perceived self-efficacy to detect misinformation on social media is predicted by income and level of education, Internet skills of information seeking and verification, and attitude towards information verification. We also found that sharing of information on social media without verification is predicted by Internet experience, Internet skills of information seeking, sharing, and verification, attitude towards information verification, and belief in the reliability of information. Recommendations regarding information literacy, the role of individuals as media gatekeepers who verify social media information, and the importance of independent corroboration are discussed.

Suggested Citation

  • M. Laeeq Khan & Ika Karlina Idris, 2019. "Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(12), pages 1194-1212, December.
    • Handle: RePEc:taf:tbitxx:v:38:y:2019:i:12:p:1194-1212
    DOI: 10.1080/0144929X.2019.1578828
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    Cited by:

    1. Jonas R. Kunst & Aleksander B. Gundersen & Izabela Krysińska & Jan Piasecki & Tomi Wójtowicz & Rafal Rygula & Sander van der Linden & Mikolaj Morzy, 2024. "Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Hua Du & Yanchao Sun & Haozhe Jiang & A. Y. M. Atiquil Islam & Xiaoqing Gu, 2024. "Exploring the effects of AI literacy in teacher learning: an empirical study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    3. Yossiri Yossatorn & Theerapong Binali & Cathy Weng & Regina Juchun Chu, 2023. "Investigating the Relationships Among LINE Users’ Concerns, Motivations for Information Sharing Intention and Information Sharing Behavior," SAGE Open, , vol. 13(3), pages 21582440231, August.
    4. Chae, Myoung-Jin & Kim, Yanghee & Roh, Taewoo, 2024. "Consumers’ attention, experience, and action to organic consumption: The moderating role of anticipated pride and moral obligation," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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