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Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases
This study aimed to identify what information triggered social media users’ responses regarding infectious diseases. Chinese microblogs in 2012 regarding 42 infectious diseases were obtained through a keyword search in the Weiboscope database. Qualitative content analysis was performed for the posts...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4422708/ https://www.ncbi.nlm.nih.gov/pubmed/25946020 http://dx.doi.org/10.1371/journal.pone.0126092 |
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author | Fung, Isaac Chun-Hai Hao, Yi Cai, Jingxian Ying, Yuchen Schaible, Braydon James Yu, Cynthia Mengxi Tse, Zion Tsz Ho Fu, King-Wa |
author_facet | Fung, Isaac Chun-Hai Hao, Yi Cai, Jingxian Ying, Yuchen Schaible, Braydon James Yu, Cynthia Mengxi Tse, Zion Tsz Ho Fu, King-Wa |
author_sort | Fung, Isaac Chun-Hai |
collection | PubMed |
description | This study aimed to identify what information triggered social media users’ responses regarding infectious diseases. Chinese microblogs in 2012 regarding 42 infectious diseases were obtained through a keyword search in the Weiboscope database. Qualitative content analysis was performed for the posts pertinent to each keyword of the day of the year with the highest daily count. Similar posts were grouped and coded. We identified five categories of information that increased microblog traffic pertaining to infectious diseases: news of an outbreak or a case; health education / information; alternative health information / Traditional Chinese Medicine; commercial advertisement / entertainment; and social issues. News unrelated to the specified infectious diseases also led to elevated microblog traffic. Our study showcases the diverse contexts from which increased social media traffic occur. Our results will facilitate better health communication as causes underlying increased social media traffic are revealed. |
format | Online Article Text |
id | pubmed-4422708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44227082015-05-12 Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases Fung, Isaac Chun-Hai Hao, Yi Cai, Jingxian Ying, Yuchen Schaible, Braydon James Yu, Cynthia Mengxi Tse, Zion Tsz Ho Fu, King-Wa PLoS One Research Article This study aimed to identify what information triggered social media users’ responses regarding infectious diseases. Chinese microblogs in 2012 regarding 42 infectious diseases were obtained through a keyword search in the Weiboscope database. Qualitative content analysis was performed for the posts pertinent to each keyword of the day of the year with the highest daily count. Similar posts were grouped and coded. We identified five categories of information that increased microblog traffic pertaining to infectious diseases: news of an outbreak or a case; health education / information; alternative health information / Traditional Chinese Medicine; commercial advertisement / entertainment; and social issues. News unrelated to the specified infectious diseases also led to elevated microblog traffic. Our study showcases the diverse contexts from which increased social media traffic occur. Our results will facilitate better health communication as causes underlying increased social media traffic are revealed. Public Library of Science 2015-05-06 /pmc/articles/PMC4422708/ /pubmed/25946020 http://dx.doi.org/10.1371/journal.pone.0126092 Text en © 2015 Fung 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Fung, Isaac Chun-Hai Hao, Yi Cai, Jingxian Ying, Yuchen Schaible, Braydon James Yu, Cynthia Mengxi Tse, Zion Tsz Ho Fu, King-Wa Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title | Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title_full | Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title_fullStr | Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title_full_unstemmed | Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title_short | Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases |
title_sort | chinese social media reaction to information about 42 notifiable infectious diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4422708/ https://www.ncbi.nlm.nih.gov/pubmed/25946020 http://dx.doi.org/10.1371/journal.pone.0126092 |
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