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Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies

BACKGROUND: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches fo...

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Autores principales: Jones, Christopher M, Diethei, Daniel, Schöning, Johannes, Shrestha, Rehana, Jahnel, Tina, Schüz, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485706/
https://www.ncbi.nlm.nih.gov/pubmed/37616030
http://dx.doi.org/10.2196/45583
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author Jones, Christopher M
Diethei, Daniel
Schöning, Johannes
Shrestha, Rehana
Jahnel, Tina
Schüz, Benjamin
author_facet Jones, Christopher M
Diethei, Daniel
Schöning, Johannes
Shrestha, Rehana
Jahnel, Tina
Schüz, Benjamin
author_sort Jones, Christopher M
collection PubMed
description BACKGROUND: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches focus on increasing scrutiny, providing corrections to misinformation (debunking), or alerting users prospectively about future misinformation (prebunking and inoculation). Here, we provide a test of a complementary strategy that focuses on the social processes inherent in social media use, in particular, social reinforcement, social identity, and injunctive norms. OBJECTIVE: This study aimed to examine whether providing balanced social reference cues (ie, cues that provide information on users sharing and, more importantly, not sharing specific content) in addition to flagging COVID-19–related misinformation leads to reductions in sharing behavior and improvement in overall sharing quality. METHODS: A total of 3 field experiments were conducted on Twitter’s native social media feed (via a newly developed browser extension). Participants’ feed was augmented to include misleading and control information, resulting in 4 groups: no-information control, Twitter’s own misinformation warning (misinformation flag), social cue only, and combined misinformation flag and social cue. We tracked the content shared or liked by participants. Participants were provided with social information by referencing either their personal network on Twitter or all Twitter users. RESULTS: A total of 1424 Twitter users participated in 3 studies (n=824, n=322, and n=278). Across all 3 studies, we found that social cues that reference users’ personal network combined with a misinformation flag reduced the sharing of misleading but not control information and improved overall sharing quality. We show that this improvement could be driven by a change in injunctive social norms (study 2) but not social identity (study 3). CONCLUSIONS: Social reference cues combined with misinformation flags can significantly and meaningfully reduce the amount of COVID-19–related misinformation shared and improve overall sharing quality. They are a feasible and scalable way to effectively curb the sharing of COVID-19–related misinformation on social media.
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spelling pubmed-104857062023-09-09 Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies Jones, Christopher M Diethei, Daniel Schöning, Johannes Shrestha, Rehana Jahnel, Tina Schüz, Benjamin J Med Internet Res Original Paper BACKGROUND: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches focus on increasing scrutiny, providing corrections to misinformation (debunking), or alerting users prospectively about future misinformation (prebunking and inoculation). Here, we provide a test of a complementary strategy that focuses on the social processes inherent in social media use, in particular, social reinforcement, social identity, and injunctive norms. OBJECTIVE: This study aimed to examine whether providing balanced social reference cues (ie, cues that provide information on users sharing and, more importantly, not sharing specific content) in addition to flagging COVID-19–related misinformation leads to reductions in sharing behavior and improvement in overall sharing quality. METHODS: A total of 3 field experiments were conducted on Twitter’s native social media feed (via a newly developed browser extension). Participants’ feed was augmented to include misleading and control information, resulting in 4 groups: no-information control, Twitter’s own misinformation warning (misinformation flag), social cue only, and combined misinformation flag and social cue. We tracked the content shared or liked by participants. Participants were provided with social information by referencing either their personal network on Twitter or all Twitter users. RESULTS: A total of 1424 Twitter users participated in 3 studies (n=824, n=322, and n=278). Across all 3 studies, we found that social cues that reference users’ personal network combined with a misinformation flag reduced the sharing of misleading but not control information and improved overall sharing quality. We show that this improvement could be driven by a change in injunctive social norms (study 2) but not social identity (study 3). CONCLUSIONS: Social reference cues combined with misinformation flags can significantly and meaningfully reduce the amount of COVID-19–related misinformation shared and improve overall sharing quality. They are a feasible and scalable way to effectively curb the sharing of COVID-19–related misinformation on social media. JMIR Publications 2023-08-24 /pmc/articles/PMC10485706/ /pubmed/37616030 http://dx.doi.org/10.2196/45583 Text en ©Christopher M Jones, Daniel Diethei, Johannes Schöning, Rehana Shrestha, Tina Jahnel, Benjamin Schüz. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.08.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Jones, Christopher M
Diethei, Daniel
Schöning, Johannes
Shrestha, Rehana
Jahnel, Tina
Schüz, Benjamin
Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title_full Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title_fullStr Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title_full_unstemmed Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title_short Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
title_sort impact of social reference cues on misinformation sharing on social media: series of experimental studies
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485706/
https://www.ncbi.nlm.nih.gov/pubmed/37616030
http://dx.doi.org/10.2196/45583
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