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Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language

BACKGROUND: Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. OBJECTIVE: This paper quantifies the production and consumption of Wikiped...

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Detalles Bibliográficos
Autores principales: Heilman, James M, West, Andrew G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376174/
https://www.ncbi.nlm.nih.gov/pubmed/25739399
http://dx.doi.org/10.2196/jmir.4069
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author Heilman, James M
West, Andrew G
author_facet Heilman, James M
West, Andrew G
author_sort Heilman, James M
collection PubMed
description BACKGROUND: Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. OBJECTIVE: This paper quantifies the production and consumption of Wikipedia’s medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia’s natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia’s medical contributors, including year-over-year participation trends and editor demographics. METHODS: Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis. RESULTS: Wikipedia’s medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85.5% (100/117) had a university education. CONCLUSIONS: Although Wikipedia has a considerable volume of multilingual medical content that is extensively read and well-referenced, the core group of editors that contribute and maintain that content is small and shrinking in size.
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spelling pubmed-43761742015-04-02 Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language Heilman, James M West, Andrew G J Med Internet Res Original Paper BACKGROUND: Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. OBJECTIVE: This paper quantifies the production and consumption of Wikipedia’s medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia’s natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia’s medical contributors, including year-over-year participation trends and editor demographics. METHODS: Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis. RESULTS: Wikipedia’s medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85.5% (100/117) had a university education. CONCLUSIONS: Although Wikipedia has a considerable volume of multilingual medical content that is extensively read and well-referenced, the core group of editors that contribute and maintain that content is small and shrinking in size. JMIR Publications Inc. 2015-03-04 /pmc/articles/PMC4376174/ /pubmed/25739399 http://dx.doi.org/10.2196/jmir.4069 Text en ©James M Heilman, Andrew G West. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.03.2015. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), 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
Heilman, James M
West, Andrew G
Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title_full Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title_fullStr Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title_full_unstemmed Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title_short Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
title_sort wikipedia and medicine: quantifying readership, editors, and the significance of natural language
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376174/
https://www.ncbi.nlm.nih.gov/pubmed/25739399
http://dx.doi.org/10.2196/jmir.4069
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