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Wikipedia page views for health research: a review
Wikipedia is an open-source online encyclopedia and one of the most-read sources of online health information. Likewise, Wikipedia page views have also been analyzed to inform public health services and policies. The present review analyzed 29 studies utilizing Wikipedia page views for health resear...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353851/ https://www.ncbi.nlm.nih.gov/pubmed/37469441 http://dx.doi.org/10.3389/fdata.2023.1199060 |
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author | Alibudbud, Rowalt |
author_facet | Alibudbud, Rowalt |
author_sort | Alibudbud, Rowalt |
collection | PubMed |
description | Wikipedia is an open-source online encyclopedia and one of the most-read sources of online health information. Likewise, Wikipedia page views have also been analyzed to inform public health services and policies. The present review analyzed 29 studies utilizing Wikipedia page views for health research. Most reviewed studies were published in recent years and emanated from high-income countries. Together with Wikipedia page views, most studies also used data from other internet sources, such as Google, Twitter, YouTube, and Reddit. The reviewed studies also explored various non-communicable diseases, infectious diseases, and health interventions to describe changes in the utilization of online health information from Wikipedia, to examine the effect of public events on public interest and information usage about health-related Wikipedia pages, to estimate and predict the incidence and prevalence of diseases, to predict data from other internet data sources, to evaluate the effectiveness of health education activities, and to explore the evolution of a health topic. Given some of the limitations in replicating some of the reviewed studies, future research can specify the specific Wikipedia page or pages analyzed, the language of the Wikipedia pages examined, dates of data collection, dates explored, type of data, and whether page views were limited to Internet users and whether web crawlers and redirects to the Wikipedia page were included. Future research can also explore public interest in other commonly read health topics available in Wikipedia, develop Wikipedia-based models that can be used to predict disease incidence and improve Wikipedia-based health education activities. |
format | Online Article Text |
id | pubmed-10353851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103538512023-07-19 Wikipedia page views for health research: a review Alibudbud, Rowalt Front Big Data Big Data Wikipedia is an open-source online encyclopedia and one of the most-read sources of online health information. Likewise, Wikipedia page views have also been analyzed to inform public health services and policies. The present review analyzed 29 studies utilizing Wikipedia page views for health research. Most reviewed studies were published in recent years and emanated from high-income countries. Together with Wikipedia page views, most studies also used data from other internet sources, such as Google, Twitter, YouTube, and Reddit. The reviewed studies also explored various non-communicable diseases, infectious diseases, and health interventions to describe changes in the utilization of online health information from Wikipedia, to examine the effect of public events on public interest and information usage about health-related Wikipedia pages, to estimate and predict the incidence and prevalence of diseases, to predict data from other internet data sources, to evaluate the effectiveness of health education activities, and to explore the evolution of a health topic. Given some of the limitations in replicating some of the reviewed studies, future research can specify the specific Wikipedia page or pages analyzed, the language of the Wikipedia pages examined, dates of data collection, dates explored, type of data, and whether page views were limited to Internet users and whether web crawlers and redirects to the Wikipedia page were included. Future research can also explore public interest in other commonly read health topics available in Wikipedia, develop Wikipedia-based models that can be used to predict disease incidence and improve Wikipedia-based health education activities. Frontiers Media S.A. 2023-07-04 /pmc/articles/PMC10353851/ /pubmed/37469441 http://dx.doi.org/10.3389/fdata.2023.1199060 Text en Copyright © 2023 Alibudbud. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Alibudbud, Rowalt Wikipedia page views for health research: a review |
title | Wikipedia page views for health research: a review |
title_full | Wikipedia page views for health research: a review |
title_fullStr | Wikipedia page views for health research: a review |
title_full_unstemmed | Wikipedia page views for health research: a review |
title_short | Wikipedia page views for health research: a review |
title_sort | wikipedia page views for health research: a review |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353851/ https://www.ncbi.nlm.nih.gov/pubmed/37469441 http://dx.doi.org/10.3389/fdata.2023.1199060 |
work_keys_str_mv | AT alibudbudrowalt wikipediapageviewsforhealthresearchareview |