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Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation

BACKGROUND: The proliferation of health misinformation on social media is a growing public health concern. Online communities for mental health (OCMHs) are also considered an outlet for exposure to misinformation. This study explored the impact of the self-reported volume of exposure to mental healt...

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Autores principales: Bizzotto, Nicole, de Bruijn, Gert-Jan, Schulz, Peter Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436646/
https://www.ncbi.nlm.nih.gov/pubmed/37596592
http://dx.doi.org/10.1186/s12889-023-16404-1
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author Bizzotto, Nicole
de Bruijn, Gert-Jan
Schulz, Peter Johannes
author_facet Bizzotto, Nicole
de Bruijn, Gert-Jan
Schulz, Peter Johannes
author_sort Bizzotto, Nicole
collection PubMed
description BACKGROUND: The proliferation of health misinformation on social media is a growing public health concern. Online communities for mental health (OCMHs) are also considered an outlet for exposure to misinformation. This study explored the impact of the self-reported volume of exposure to mental health misinformation in misinformation agreement and the moderating effects of depression literacy and type of OCMHs participation (expert vs. peer-led). METHODS: Participants (n = 403) were recruited in Italian-speaking OCMHs on Facebook. We conducted regression analyses using PROCESS macro (moderated moderation, Model 3). Measures included: the Depression Literacy Questionnaire (Griffiths et al., 2004), the self-reported misinformation exposure in the OCMHs (3 items), and misinformation agreement with the exposure items (3 items). Whether participants were members of expert or peer-led OCMHs was also investigated. RESULTS: The final model explained the 12% variance in the agreement. There was a positive and significant relationship between misinformation exposure and misinformation agreement (β = 0.3221, p < .001), a significant two-way interaction between misinformation exposure and depression literacy (β = − 0.2179, p = .0014 ), and between self-reported misinformation exposure and type of OCMH (β = − 0.2322, p = .0254), such that at higher levels of depression literacy and in case of participation to expert-led OCMHs, the relationship misinformation exposure-misinformation agreement was weaker. Finally, a three-way interaction was found (β = 0.2497, p = .0144) that showed that depression literacy moderated the positive relationship between misinformation exposure and misinformation agreement such that the more misinformation participants were exposed to, the more they agreed with it unless they had higher levels of depression literacy; this, however, occurred only if they participated in peer-led groups. CONCLUSIONS: Results provide evidence that the more members reported being exposed to mental health misinformation, the more they tended to agree with it, however this was only visible when participants had lower depression literacy and were participating in peer-led OCMHs. Results of this study suggest that both internal factors (i.e., high depression literacy) and external factors (the type of online community individuals were participating in) can buffer the negative effects of misinformation exposure. It also suggests that increasing depression literacy and expert community moderation could curb the negative consequences of misinformation exposure related to mental health. Results will guide interventions to mitigate the effects of misinformation in OCMHs, including encouraging health professionals in their administration and implementing health education programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16404-1.
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spelling pubmed-104366462023-08-19 Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation Bizzotto, Nicole de Bruijn, Gert-Jan Schulz, Peter Johannes BMC Public Health Research BACKGROUND: The proliferation of health misinformation on social media is a growing public health concern. Online communities for mental health (OCMHs) are also considered an outlet for exposure to misinformation. This study explored the impact of the self-reported volume of exposure to mental health misinformation in misinformation agreement and the moderating effects of depression literacy and type of OCMHs participation (expert vs. peer-led). METHODS: Participants (n = 403) were recruited in Italian-speaking OCMHs on Facebook. We conducted regression analyses using PROCESS macro (moderated moderation, Model 3). Measures included: the Depression Literacy Questionnaire (Griffiths et al., 2004), the self-reported misinformation exposure in the OCMHs (3 items), and misinformation agreement with the exposure items (3 items). Whether participants were members of expert or peer-led OCMHs was also investigated. RESULTS: The final model explained the 12% variance in the agreement. There was a positive and significant relationship between misinformation exposure and misinformation agreement (β = 0.3221, p < .001), a significant two-way interaction between misinformation exposure and depression literacy (β = − 0.2179, p = .0014 ), and between self-reported misinformation exposure and type of OCMH (β = − 0.2322, p = .0254), such that at higher levels of depression literacy and in case of participation to expert-led OCMHs, the relationship misinformation exposure-misinformation agreement was weaker. Finally, a three-way interaction was found (β = 0.2497, p = .0144) that showed that depression literacy moderated the positive relationship between misinformation exposure and misinformation agreement such that the more misinformation participants were exposed to, the more they agreed with it unless they had higher levels of depression literacy; this, however, occurred only if they participated in peer-led groups. CONCLUSIONS: Results provide evidence that the more members reported being exposed to mental health misinformation, the more they tended to agree with it, however this was only visible when participants had lower depression literacy and were participating in peer-led OCMHs. Results of this study suggest that both internal factors (i.e., high depression literacy) and external factors (the type of online community individuals were participating in) can buffer the negative effects of misinformation exposure. It also suggests that increasing depression literacy and expert community moderation could curb the negative consequences of misinformation exposure related to mental health. Results will guide interventions to mitigate the effects of misinformation in OCMHs, including encouraging health professionals in their administration and implementing health education programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16404-1. BioMed Central 2023-08-18 /pmc/articles/PMC10436646/ /pubmed/37596592 http://dx.doi.org/10.1186/s12889-023-16404-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bizzotto, Nicole
de Bruijn, Gert-Jan
Schulz, Peter Johannes
Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title_full Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title_fullStr Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title_full_unstemmed Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title_short Buffering against exposure to mental health misinformation in online communities on Facebook: the interplay of depression literacy and expert moderation
title_sort buffering against exposure to mental health misinformation in online communities on facebook: the interplay of depression literacy and expert moderation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436646/
https://www.ncbi.nlm.nih.gov/pubmed/37596592
http://dx.doi.org/10.1186/s12889-023-16404-1
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