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Article

Investigation of Women’s Health on Wikipedia—A Temporal Analysis of Women’s Health Topic

by 1,2,* and 3
1
School of Information Resource Management, Renmin University of China, Beijing 100872, China
2
CIO Research Center, Renmin University of China, Beijing 100872, China
3
School of Information Studies, University of Wisconsin-Milwaukee, Milwaukee WI 53211, USA
*
Author to whom correspondence should be addressed.
Informatics 2020, 7(3), 22; https://doi.org/10.3390/informatics7030022
Received: 25 June 2020 / Revised: 12 July 2020 / Accepted: 15 July 2020 / Published: 17 July 2020
(This article belongs to the Special Issue Feature Papers: Health Informatics)
New health-related concepts, terms, and topics emerge, and the meanings of existing terms and topics keep changing. This study investigated and explored the evolutions of the women’s health topic on Wikipedia. The creation time, page views data, page edits data, and text of historical versions of 207 women-health-related entries from 2010 to 2017 on Wikipedia were collected. Coding, subject analysis, descriptive and inferential statistical analysis, and Self-Organizing Map and n-gram approaches were employed to explore the characteristics and evolutions of the entries for the women’s health topic. The results show that the number of the women-health-related entries kept increasing from 2010 to 2017, and nearly half of them were related to the supports and protection of women’s health. The total number of page views of the investigated items increased from 2011 to 2013, but it decreased from 2013 to 2017, while the total number of page edits stayed stable from 2010 to 2017. Growing subjects were found during the investigated period, such as abuse and violence, and family planning and reproduction. However, the entries related to the economy and politics were diminishing. There was no association between the internal characteristic evolution and the external popularity evolution of the women’s health topic. View Full-Text
Keywords: women’s health; Wikipedia; health informatics; social media; temporal analysis; theme development; information science women’s health; Wikipedia; health informatics; social media; temporal analysis; theme development; information science
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MDPI and ACS Style

Wang, Y.; Zhang, J. Investigation of Women’s Health on Wikipedia—A Temporal Analysis of Women’s Health Topic. Informatics 2020, 7, 22. https://doi.org/10.3390/informatics7030022

AMA Style

Wang Y, Zhang J. Investigation of Women’s Health on Wikipedia—A Temporal Analysis of Women’s Health Topic. Informatics. 2020; 7(3):22. https://doi.org/10.3390/informatics7030022

Chicago/Turabian Style

Wang, Yanyan, and Jin Zhang. 2020. "Investigation of Women’s Health on Wikipedia—A Temporal Analysis of Women’s Health Topic" Informatics 7, no. 3: 22. https://doi.org/10.3390/informatics7030022

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