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Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams

This article investigates the prevalence of high and low quality URLs shared on Twitter when users discuss COVID-19. We distinguish between high quality health sources, traditional news sources, and low quality misinformation sources. We find that misinformation, in terms of tweets containing URLs f...

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Autores principales: Singh, Lisa, Bode, Leticia, Budak, Ceren, Kawintiranon, Kornraphop, Padden, Colton, Vraga, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691185/
https://www.ncbi.nlm.nih.gov/pubmed/33263092
http://dx.doi.org/10.1007/s42001-020-00093-6
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author Singh, Lisa
Bode, Leticia
Budak, Ceren
Kawintiranon, Kornraphop
Padden, Colton
Vraga, Emily
author_facet Singh, Lisa
Bode, Leticia
Budak, Ceren
Kawintiranon, Kornraphop
Padden, Colton
Vraga, Emily
author_sort Singh, Lisa
collection PubMed
description This article investigates the prevalence of high and low quality URLs shared on Twitter when users discuss COVID-19. We distinguish between high quality health sources, traditional news sources, and low quality misinformation sources. We find that misinformation, in terms of tweets containing URLs from low quality misinformation websites, is shared at a higher rate than tweets containing URLs on high quality health information websites. However, both are a relatively small proportion of the overall conversation. In contrast, news sources are shared at a much higher rate. These findings lead us to analyze the network created by the URLs referenced on the webpages shared by Twitter users. When looking at the combined network formed by all three of the source types, we find that the high quality health information network, the low quality misinformation network, and the news information network are all well connected with a clear community structure. While high and low quality sites do have connections to each other, the connections to and from news sources are more common, highlighting the central brokerage role news sources play in this information ecosystem. Our findings suggest that while low quality URLs are not extensively shared in the COVID-19 Twitter conversation, a well connected community of low quality COVID-19 related information has emerged on the web, and both health and news sources are connecting to this community.
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spelling pubmed-76911852020-11-27 Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams Singh, Lisa Bode, Leticia Budak, Ceren Kawintiranon, Kornraphop Padden, Colton Vraga, Emily J Comput Soc Sci Research Article This article investigates the prevalence of high and low quality URLs shared on Twitter when users discuss COVID-19. We distinguish between high quality health sources, traditional news sources, and low quality misinformation sources. We find that misinformation, in terms of tweets containing URLs from low quality misinformation websites, is shared at a higher rate than tweets containing URLs on high quality health information websites. However, both are a relatively small proportion of the overall conversation. In contrast, news sources are shared at a much higher rate. These findings lead us to analyze the network created by the URLs referenced on the webpages shared by Twitter users. When looking at the combined network formed by all three of the source types, we find that the high quality health information network, the low quality misinformation network, and the news information network are all well connected with a clear community structure. While high and low quality sites do have connections to each other, the connections to and from news sources are more common, highlighting the central brokerage role news sources play in this information ecosystem. Our findings suggest that while low quality URLs are not extensively shared in the COVID-19 Twitter conversation, a well connected community of low quality COVID-19 related information has emerged on the web, and both health and news sources are connecting to this community. Springer Singapore 2020-11-27 2020 /pmc/articles/PMC7691185/ /pubmed/33263092 http://dx.doi.org/10.1007/s42001-020-00093-6 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Singh, Lisa
Bode, Leticia
Budak, Ceren
Kawintiranon, Kornraphop
Padden, Colton
Vraga, Emily
Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title_full Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title_fullStr Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title_full_unstemmed Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title_short Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams
title_sort understanding high- and low-quality url sharing on covid-19 twitter streams
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691185/
https://www.ncbi.nlm.nih.gov/pubmed/33263092
http://dx.doi.org/10.1007/s42001-020-00093-6
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