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Assessment of Social Transmission of Food Preferences Behaviors
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Norm Perceptions about Rumor Sharing on Genetically Modified Foods: The Interaction between Facebook Likes and a
1School of Management and Economics, Handong Global University.
Health Communication
|December 13, 2021
Summary
High Likes on Facebook posts about genetically modified foods increase sharing intentions. Refuting comments reduce this effect, especially when Likes are low, influencing perceived social norms.
Area of Science:
- Social Psychology
- Communication Studies
- Information Science
Background:
- Social media platforms like Facebook are key channels for information dissemination, including rumors.
- Normative information, such as Likes and comments, can shape user behavior online.
- Understanding factors influencing the spread of misinformation regarding genetically modified foods is crucial.
Purpose of the Study:
- To investigate the influence of normative information (Likes, refuting comments) on Facebook on users' intention to share rumor posts about genetically modified foods.
- To examine the mediating role of perceived descriptive and injunctive norms in this relationship.
- To explore the interaction effect between the number of Likes and refuting comments on sharing intentions.
Main Methods:
- An online experiment was conducted with 630 Facebook users.
- Participants were exposed to a rumor post about genetically modified foods with varying numbers of Likes and presence/absence of a refuting comment.
- Measures included intention to share, perceived descriptive norms, and perceived injunctive norms.
Main Results:
- A high number of Likes significantly increased the intention to share the rumor post.
- This effect was mediated by perceived descriptive and injunctive norms.
- An interaction effect was found: a refuting comment increased perceived injunctive norms about rumor sharing, particularly when the number of Likes was low.
Conclusions:
- Normative cues on social media, specifically Likes, play a significant role in the virality of misinformation.
- Refuting comments can mitigate the influence of Likes, highlighting the potential for interventions.
- Future research should explore diverse platforms and user demographics to understand rumor propagation dynamics.
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