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Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study

BACKGROUND: Online false or misleading oral health–related content has been propagated on social media to deceive people against fluoride’s economic and health benefits to prevent dental caries. OBJECTIVE: The aim of this study was to characterize the false or misleading fluoride-related content on...

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Autores principales: Lotto, Matheus, Sá Menezes, Tamires, Zakir Hussain, Irfhana, Tsao, Shu-Feng, Ahmad Butt, Zahid, P Morita, Plinio, Cruvinel, Thiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164089/
https://www.ncbi.nlm.nih.gov/pubmed/35588055
http://dx.doi.org/10.2196/37519
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author Lotto, Matheus
Sá Menezes, Tamires
Zakir Hussain, Irfhana
Tsao, Shu-Feng
Ahmad Butt, Zahid
P Morita, Plinio
Cruvinel, Thiago
author_facet Lotto, Matheus
Sá Menezes, Tamires
Zakir Hussain, Irfhana
Tsao, Shu-Feng
Ahmad Butt, Zahid
P Morita, Plinio
Cruvinel, Thiago
author_sort Lotto, Matheus
collection PubMed
description BACKGROUND: Online false or misleading oral health–related content has been propagated on social media to deceive people against fluoride’s economic and health benefits to prevent dental caries. OBJECTIVE: The aim of this study was to characterize the false or misleading fluoride-related content on Instagram. METHODS: A total of 3863 posts ranked by users’ total interaction and published between August 2016 and August 2021 were retrieved by CrowdTangle, of which 641 were screened to obtain 500 final posts. Subsequently, two independent investigators analyzed posts qualitatively to define their authors’ interests, profile characteristics, content type, and sentiment. Latent Dirichlet allocation analysis topic modeling was then applied to find salient terms and topics related to false or misleading content, and their similarity was calculated through an intertopic distance map. Data were evaluated by descriptive analysis, the Mann-Whitney U test, the Cramer V test, and multiple logistic regression models. RESULTS: Most of the posts were categorized as misinformation and political misinformation. The overperforming score was positively associated with older messages (odds ratio [OR]=3.293, P<.001) and professional/political misinformation (OR=1.944, P=.05). In this context, time from publication, negative/neutral sentiment, author’s profile linked to business/dental office/news agency, and social and political interests were related to the increment of performance of messages. Although political misinformation with negative/neutral sentiments was typically published by regular users, misinformation was linked to positive commercial posts. Overall messages focused on improving oral health habits, side effects, dentifrice containing natural ingredients, and fluoride-free products propaganda. CONCLUSIONS: False or misleading fluoride-related content found on Instagram was predominantly produced by regular users motivated by social, psychological, and/or financial interests. However, higher engagement and spreading metrics were associated with political misinformation. Most of the posts were related to the toxicity of fluoridated water and products frequently motivated by financial interests.
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spelling pubmed-91640892022-06-05 Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study Lotto, Matheus Sá Menezes, Tamires Zakir Hussain, Irfhana Tsao, Shu-Feng Ahmad Butt, Zahid P Morita, Plinio Cruvinel, Thiago J Med Internet Res Original Paper BACKGROUND: Online false or misleading oral health–related content has been propagated on social media to deceive people against fluoride’s economic and health benefits to prevent dental caries. OBJECTIVE: The aim of this study was to characterize the false or misleading fluoride-related content on Instagram. METHODS: A total of 3863 posts ranked by users’ total interaction and published between August 2016 and August 2021 were retrieved by CrowdTangle, of which 641 were screened to obtain 500 final posts. Subsequently, two independent investigators analyzed posts qualitatively to define their authors’ interests, profile characteristics, content type, and sentiment. Latent Dirichlet allocation analysis topic modeling was then applied to find salient terms and topics related to false or misleading content, and their similarity was calculated through an intertopic distance map. Data were evaluated by descriptive analysis, the Mann-Whitney U test, the Cramer V test, and multiple logistic regression models. RESULTS: Most of the posts were categorized as misinformation and political misinformation. The overperforming score was positively associated with older messages (odds ratio [OR]=3.293, P<.001) and professional/political misinformation (OR=1.944, P=.05). In this context, time from publication, negative/neutral sentiment, author’s profile linked to business/dental office/news agency, and social and political interests were related to the increment of performance of messages. Although political misinformation with negative/neutral sentiments was typically published by regular users, misinformation was linked to positive commercial posts. Overall messages focused on improving oral health habits, side effects, dentifrice containing natural ingredients, and fluoride-free products propaganda. CONCLUSIONS: False or misleading fluoride-related content found on Instagram was predominantly produced by regular users motivated by social, psychological, and/or financial interests. However, higher engagement and spreading metrics were associated with political misinformation. Most of the posts were related to the toxicity of fluoridated water and products frequently motivated by financial interests. JMIR Publications 2022-05-19 /pmc/articles/PMC9164089/ /pubmed/35588055 http://dx.doi.org/10.2196/37519 Text en ©Matheus Lotto, Tamires Sá Menezes, Irfhana Zakir Hussain, Shu-Feng Tsao, Zahid Ahmad Butt, Plinio P Morita, Thiago Cruvinel. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.05.2022. 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
Lotto, Matheus
Sá Menezes, Tamires
Zakir Hussain, Irfhana
Tsao, Shu-Feng
Ahmad Butt, Zahid
P Morita, Plinio
Cruvinel, Thiago
Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title_full Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title_fullStr Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title_full_unstemmed Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title_short Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study
title_sort characterization of false or misleading fluoride content on instagram: infodemiology study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164089/
https://www.ncbi.nlm.nih.gov/pubmed/35588055
http://dx.doi.org/10.2196/37519
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