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Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics

BACKGROUND: Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation....

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Autores principales: Roland, Damian, Spurr, Jesse, Cabrera, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533942/
https://www.ncbi.nlm.nih.gov/pubmed/28710054
http://dx.doi.org/10.2196/jmir.7072
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author Roland, Damian
Spurr, Jesse
Cabrera, Daniel
author_facet Roland, Damian
Spurr, Jesse
Cabrera, Daniel
author_sort Roland, Damian
collection PubMed
description BACKGROUND: Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation. To date, there is only a small body of evidence in medicine or health care to verify the existence of an oCoP. OBJECTIVE: We aimed to examine the emergence of an oCoP through the study of social media interactions of the free open access medical education (FOAM) movement. METHODS: We examined social media activity in Twitter by analyzing the network centrality metrics of tweets with the #FOAMed hashtag and compared them with previously validated criteria of a community of practice (CoP). RESULTS: The centrality analytics of the FOAM community showed concordance with aspects of a general CoP (in terms of community, domain, and practice), as well as some specific traits of a health care community, including social control, common purpose, flat hierarchy, and network-based and concrete achievement. CONCLUSIONS: This study demonstrated preliminary evidence of an oCoP focused on education and based on social media interactions. Further examination of the topology of the network is needed to definitely prove the existence of an oCoP. Given that these communities result in significant knowledge translation and practice change, further research in this area appears warranted.
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spelling pubmed-55339422017-08-11 Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics Roland, Damian Spurr, Jesse Cabrera, Daniel J Med Internet Res Original Paper BACKGROUND: Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation. To date, there is only a small body of evidence in medicine or health care to verify the existence of an oCoP. OBJECTIVE: We aimed to examine the emergence of an oCoP through the study of social media interactions of the free open access medical education (FOAM) movement. METHODS: We examined social media activity in Twitter by analyzing the network centrality metrics of tweets with the #FOAMed hashtag and compared them with previously validated criteria of a community of practice (CoP). RESULTS: The centrality analytics of the FOAM community showed concordance with aspects of a general CoP (in terms of community, domain, and practice), as well as some specific traits of a health care community, including social control, common purpose, flat hierarchy, and network-based and concrete achievement. CONCLUSIONS: This study demonstrated preliminary evidence of an oCoP focused on education and based on social media interactions. Further examination of the topology of the network is needed to definitely prove the existence of an oCoP. Given that these communities result in significant knowledge translation and practice change, further research in this area appears warranted. JMIR Publications 2017-07-14 /pmc/articles/PMC5533942/ /pubmed/28710054 http://dx.doi.org/10.2196/jmir.7072 Text en ©Damian Roland, Jesse Spurr, Daniel Cabrera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.07.2017. 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 http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Roland, Damian
Spurr, Jesse
Cabrera, Daniel
Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title_full Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title_fullStr Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title_full_unstemmed Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title_short Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
title_sort preliminary evidence for the emergence of a health care online community of practice: using a netnographic framework for twitter hashtag analytics
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533942/
https://www.ncbi.nlm.nih.gov/pubmed/28710054
http://dx.doi.org/10.2196/jmir.7072
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