To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. (August 2021)
- Record Type:
- Journal Article
- Title:
- To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. (August 2021)
- Main Title:
- To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia
- Authors:
- Balakrishnan, Vimala
Ng, Kee S.
Rahim, Hajar Abdul - Abstract:
- Abstract: This study investigates the underlying motives for online fake news sharing during the COVID-19 pandemic, an unprecedented time that witnessed a spike in the spread of false content. Motives were identified based on a fake news sharing model developed using the SocioCultural-Psychological-Technology (SCulPT) model, Uses and Gratification (U&G) theory and Self-Determination Theory (SDT), and further extended using fake news predictors/gratifications from past studies. A self-administered survey resulted in 869 online Malaysian respondents aged between 18 and 59 years old (Mean = 22.6, Standard deviation = 6.13). Structured equation modelling revealed the fake news sharing model to collectively account for 49.2 % of the variance, with Altruism (β = 0.333; p < 0.001), Ignorance (β = 0.165; p < 0.001) and Entertainment (β = 0.139; p < 0.001) significantly predicting the behaviour. Conversely, Availability/Effort, Pass Time and Fear of Missing Out were found to be insignificant. Our findings indicate that fake news sharing behavior is determined by different motives, hence these need to be understood in order to develop better solutions to mitigate this problem. Highlights: Study identified underlying motives for fake news sharing during COVID-19 pandemic. Six motives explain 49.2 % of fake news sharing behavior. Altruism and Ignorance had significant moderate effect on fake news sharing. Entertainment had a significant weak effect on fake news sharing.Abstract: This study investigates the underlying motives for online fake news sharing during the COVID-19 pandemic, an unprecedented time that witnessed a spike in the spread of false content. Motives were identified based on a fake news sharing model developed using the SocioCultural-Psychological-Technology (SCulPT) model, Uses and Gratification (U&G) theory and Self-Determination Theory (SDT), and further extended using fake news predictors/gratifications from past studies. A self-administered survey resulted in 869 online Malaysian respondents aged between 18 and 59 years old (Mean = 22.6, Standard deviation = 6.13). Structured equation modelling revealed the fake news sharing model to collectively account for 49.2 % of the variance, with Altruism (β = 0.333; p < 0.001), Ignorance (β = 0.165; p < 0.001) and Entertainment (β = 0.139; p < 0.001) significantly predicting the behaviour. Conversely, Availability/Effort, Pass Time and Fear of Missing Out were found to be insignificant. Our findings indicate that fake news sharing behavior is determined by different motives, hence these need to be understood in order to develop better solutions to mitigate this problem. Highlights: Study identified underlying motives for fake news sharing during COVID-19 pandemic. Six motives explain 49.2 % of fake news sharing behavior. Altruism and Ignorance had significant moderate effect on fake news sharing. Entertainment had a significant weak effect on fake news sharing. Availability/Effort, Pass Time and Fear of Missing Out were insignificant motives. … (more)
- Is Part Of:
- Technology in society. Volume 66(2021)
- Journal:
- Technology in society
- Issue:
- Volume 66(2021)
- Issue Display:
- Volume 66, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 66
- Issue:
- 2021
- Issue Sort Value:
- 2021-0066-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08
- Subjects:
- Fake news sharing -- Motives -- COVID-19 -- Altruism -- Ignorance -- Entertainment
Technology -- Social aspects -- Periodicals
303.483 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0160791X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.techsoc.2021.101676 ↗
- Languages:
- English
- ISSNs:
- 0160-791X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8761.023000
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- 18369.xml