Going Viral: Sharing of Misinformation by Social Media Influencers

This paper tackles the issue of health and well-being misinformation, the dissemination of false or misleading information related to medical treatments, diseases, mental health, nutrition, exercise or general well-being, propagated by social media influencers. It investigates the virality of misinformation posts by TikTok and Instagram influencers exploring users’ appraisals and their sharing tendencies. Grounded in social influence and cognitive appraisal theories (CAT), three online experimental studies dissect the dynamics of virality, user comments and their effects on perceived deception, parasocial interaction and sharing intent. The results of Study 1 demonstrate heightened post virality reduces perceived deception, fostering stronger parasocial connections and sharing intentions. Conversely, lower virality levels heighten deception perceptions. In Study 2, critical comments are shown to enhance deception in high virality posts. Whereas supportive comments are shown to enhance the indirect effect of low virality posts on sharing intentions, via deception and parasocial interaction. The study contributes by demonstrating how social influence theory and CAT together explain how social media influencer misinformation posts based on their virality and user responses are likely to be shared and what consumer appraisals explain this effect. It provides directions of how marketers can tackle this issue.

Authors

Institutions

Publication Details

Journal
Australasian Marketing Journal (AMJ)
Published
2024-08-25
DOI
https://doi.org/10.1177/14413582241273987
Citations
14
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
15.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Going Viral: Sharing of Misinformation by Social Media Influencers

Renée Barnes, Rory Mulcahy, Samantha Kay, Margarietha de Villiers Scheepers et al.
14 citations
Australasian Marketing Journal (AMJ)
Misinformation and Its Impacts
15.85
article

Going Viral: Sharing of Misinformation by Social Media Influencers

Renée Barnes, Rory Mulcahy, Samantha Kay, Margarietha de Villiers Scheepers, E. John List
article en
14 citations

Abstract

This paper tackles the issue of health and well-being misinformation, the dissemination of false or misleading information related to medical treatments, diseases, mental health, nutrition, exercise or general well-being, propagated by social media influencers. It investigates the virality of misinformation posts by TikTok and Instagram influencers exploring users’ appraisals and their sharing tendencies. Grounded in social influence and cognitive appraisal theories (CAT), three online experimental studies dissect the dynamics of virality, user comments and their effects on perceived deception, parasocial interaction and sharing intent. The results of Study 1 demonstrate heightened post virality reduces perceived deception, fostering stronger parasocial connections and sharing intentions. Conversely, lower virality levels heighten deception perceptions. In Study 2, critical comments are shown to enhance deception in high virality posts. Whereas supportive comments are shown to enhance the indirect effect of low virality posts on sharing intentions, via deception and parasocial interaction. The study contributes by demonstrating how social influence theory and CAT together explain how social media influencer misinformation posts based on their virality and user responses are likely to be shared and what consumer appraisals explain this effect. It provides directions of how marketers can tackle this issue.

Australasian Marketing Journal (AMJ)Vol. 33(3)
University of the Sunshine Coast (AU)
Openalex Percentile: Top 1%
Misinformation and Its Impacts
15.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.