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Social impact in social media: A new method to evaluate the social impact of research

The social impact of research has usually been analysed through the scientific outcomes produced under the auspices of the research. The growth of scholarly content in social media and the use of altmetrics by researchers to track their work facilitate the advancement in evaluating the impact of res...

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Detalles Bibliográficos
Autores principales: Pulido, Cristina M., Redondo-Sama, Gisela, Sordé-Martí, Teresa, Flecha, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114920/
https://www.ncbi.nlm.nih.gov/pubmed/30157262
http://dx.doi.org/10.1371/journal.pone.0203117
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author Pulido, Cristina M.
Redondo-Sama, Gisela
Sordé-Martí, Teresa
Flecha, Ramon
author_facet Pulido, Cristina M.
Redondo-Sama, Gisela
Sordé-Martí, Teresa
Flecha, Ramon
author_sort Pulido, Cristina M.
collection PubMed
description The social impact of research has usually been analysed through the scientific outcomes produced under the auspices of the research. The growth of scholarly content in social media and the use of altmetrics by researchers to track their work facilitate the advancement in evaluating the impact of research. However, there is a gap in the identification of evidence of the social impact in terms of what citizens are sharing on their social media platforms. This article applies a social impact in social media methodology (SISM) to identify quantitative and qualitative evidence of the potential or real social impact of research shared on social media, specifically on Twitter and Facebook. We define the social impact coverage ratio (SICOR) to identify the percentage of tweets and Facebook posts providing information about potential or actual social impact in relation to the total amount of social media data found related to specific research projects. We selected 10 projects in different fields of knowledge to calculate the SICOR, and the results indicate that 0.43% of the tweets and Facebook posts collected provide linkages with information about social impact. However, our analysis indicates that some projects have a high percentage (4.98%) and others have no evidence of social impact shared in social media. Examples of quantitative and qualitative evidence of social impact are provided to illustrate these results. A general finding is that novel evidences of social impact of research can be found in social media, becoming relevant platforms for scientists to spread quantitative and qualitative evidence of social impact in social media to capture the interest of citizens. Thus, social media users are showed to be intermediaries making visible and assessing evidence of social impact.
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spelling pubmed-61149202018-09-17 Social impact in social media: A new method to evaluate the social impact of research Pulido, Cristina M. Redondo-Sama, Gisela Sordé-Martí, Teresa Flecha, Ramon PLoS One Research Article The social impact of research has usually been analysed through the scientific outcomes produced under the auspices of the research. The growth of scholarly content in social media and the use of altmetrics by researchers to track their work facilitate the advancement in evaluating the impact of research. However, there is a gap in the identification of evidence of the social impact in terms of what citizens are sharing on their social media platforms. This article applies a social impact in social media methodology (SISM) to identify quantitative and qualitative evidence of the potential or real social impact of research shared on social media, specifically on Twitter and Facebook. We define the social impact coverage ratio (SICOR) to identify the percentage of tweets and Facebook posts providing information about potential or actual social impact in relation to the total amount of social media data found related to specific research projects. We selected 10 projects in different fields of knowledge to calculate the SICOR, and the results indicate that 0.43% of the tweets and Facebook posts collected provide linkages with information about social impact. However, our analysis indicates that some projects have a high percentage (4.98%) and others have no evidence of social impact shared in social media. Examples of quantitative and qualitative evidence of social impact are provided to illustrate these results. A general finding is that novel evidences of social impact of research can be found in social media, becoming relevant platforms for scientists to spread quantitative and qualitative evidence of social impact in social media to capture the interest of citizens. Thus, social media users are showed to be intermediaries making visible and assessing evidence of social impact. Public Library of Science 2018-08-29 /pmc/articles/PMC6114920/ /pubmed/30157262 http://dx.doi.org/10.1371/journal.pone.0203117 Text en © 2018 Pulido et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pulido, Cristina M.
Redondo-Sama, Gisela
Sordé-Martí, Teresa
Flecha, Ramon
Social impact in social media: A new method to evaluate the social impact of research
title Social impact in social media: A new method to evaluate the social impact of research
title_full Social impact in social media: A new method to evaluate the social impact of research
title_fullStr Social impact in social media: A new method to evaluate the social impact of research
title_full_unstemmed Social impact in social media: A new method to evaluate the social impact of research
title_short Social impact in social media: A new method to evaluate the social impact of research
title_sort social impact in social media: a new method to evaluate the social impact of research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114920/
https://www.ncbi.nlm.nih.gov/pubmed/30157262
http://dx.doi.org/10.1371/journal.pone.0203117
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