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Breastfeeding promotion on Twitter: A social network and content analysis approach

The importance of breastfeeding for maternal and infant health is well‐established, yet complex and intertwined sociocultural barriers contribute to suboptimal breastfeeding rates in most countries. Large‐scale campaigns for evidence dissemination and promotion through targeted interventions on soci...

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Detalles Bibliográficos
Autores principales: Moukarzel, Sara, Rehm, Martin, Daly, Alan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507587/
https://www.ncbi.nlm.nih.gov/pubmed/32638522
http://dx.doi.org/10.1111/mcn.13053
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author Moukarzel, Sara
Rehm, Martin
Daly, Alan J.
author_facet Moukarzel, Sara
Rehm, Martin
Daly, Alan J.
author_sort Moukarzel, Sara
collection PubMed
description The importance of breastfeeding for maternal and infant health is well‐established, yet complex and intertwined sociocultural barriers contribute to suboptimal breastfeeding rates in most countries. Large‐scale campaigns for evidence dissemination and promotion through targeted interventions on social media may help overcome some of these barriers. To date, most breastfeeding research on social media only focuses on content analysis, and there remains limited knowledge about the social networks of online communities (who interacts with whom), influencers in the breastfeeding space and the diffusion of evidence‐based knowledge. This study, grounded in social network theory, aims to better understand the breastfeeding communication landscape on Twitter including determining the presence of a breastfeeding network, communities and key influencers. Further, we characterize influencer interactions, roles and the content being shared. The study revealed an overall breastfeeding social network of 3,798 unique individuals (users) and 3,972 tweets with commonly used hashtags (e.g., #breastfeeding and #normalizebreastfeeding). Around one third of users (n = 1,324, 34%) exchanged pornographic content (PC) that sexualized breastfeeding. The non‐PC network (n = 2,474 users) formed 144 unique communities, and content flowing within the network was disproportionately influenced by 59 key influencers. However, these influencers had mostly inward‐oriented interaction (% composition, E‐I index: 47% professionals, −0.18; 41% interested citizens, −0.67; 12% companies, −0.18), limiting opportunities for evidence‐based dissemination to the lay public. Although more tweets about peer‐reviewed research findings were sent compared with tweets about nonevidence‐based lay recommendations, our findings suggest that it is the lay public who often communicated findings, which may be overcome through a targeted social network‐based intervention.
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spelling pubmed-75075872020-09-29 Breastfeeding promotion on Twitter: A social network and content analysis approach Moukarzel, Sara Rehm, Martin Daly, Alan J. Matern Child Nutr Original Articles The importance of breastfeeding for maternal and infant health is well‐established, yet complex and intertwined sociocultural barriers contribute to suboptimal breastfeeding rates in most countries. Large‐scale campaigns for evidence dissemination and promotion through targeted interventions on social media may help overcome some of these barriers. To date, most breastfeeding research on social media only focuses on content analysis, and there remains limited knowledge about the social networks of online communities (who interacts with whom), influencers in the breastfeeding space and the diffusion of evidence‐based knowledge. This study, grounded in social network theory, aims to better understand the breastfeeding communication landscape on Twitter including determining the presence of a breastfeeding network, communities and key influencers. Further, we characterize influencer interactions, roles and the content being shared. The study revealed an overall breastfeeding social network of 3,798 unique individuals (users) and 3,972 tweets with commonly used hashtags (e.g., #breastfeeding and #normalizebreastfeeding). Around one third of users (n = 1,324, 34%) exchanged pornographic content (PC) that sexualized breastfeeding. The non‐PC network (n = 2,474 users) formed 144 unique communities, and content flowing within the network was disproportionately influenced by 59 key influencers. However, these influencers had mostly inward‐oriented interaction (% composition, E‐I index: 47% professionals, −0.18; 41% interested citizens, −0.67; 12% companies, −0.18), limiting opportunities for evidence‐based dissemination to the lay public. Although more tweets about peer‐reviewed research findings were sent compared with tweets about nonevidence‐based lay recommendations, our findings suggest that it is the lay public who often communicated findings, which may be overcome through a targeted social network‐based intervention. John Wiley and Sons Inc. 2020-07-07 /pmc/articles/PMC7507587/ /pubmed/32638522 http://dx.doi.org/10.1111/mcn.13053 Text en © 2020 The Authors. Maternal & Child Nutrition published by John Wiley & Sons, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Moukarzel, Sara
Rehm, Martin
Daly, Alan J.
Breastfeeding promotion on Twitter: A social network and content analysis approach
title Breastfeeding promotion on Twitter: A social network and content analysis approach
title_full Breastfeeding promotion on Twitter: A social network and content analysis approach
title_fullStr Breastfeeding promotion on Twitter: A social network and content analysis approach
title_full_unstemmed Breastfeeding promotion on Twitter: A social network and content analysis approach
title_short Breastfeeding promotion on Twitter: A social network and content analysis approach
title_sort breastfeeding promotion on twitter: a social network and content analysis approach
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507587/
https://www.ncbi.nlm.nih.gov/pubmed/32638522
http://dx.doi.org/10.1111/mcn.13053
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