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The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation
Opt-in surveys are the most widespread method used to study participation in online communities, but produce biased results in the absence of adjustments for non-response. A 2008 survey conducted by the Wikimedia Foundation and United Nations University at Maastricht is the source of a frequently ci...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694126/ https://www.ncbi.nlm.nih.gov/pubmed/23840366 http://dx.doi.org/10.1371/journal.pone.0065782 |
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author | Hill, Benjamin Mako Shaw, Aaron |
author_facet | Hill, Benjamin Mako Shaw, Aaron |
author_sort | Hill, Benjamin Mako |
collection | PubMed |
description | Opt-in surveys are the most widespread method used to study participation in online communities, but produce biased results in the absence of adjustments for non-response. A 2008 survey conducted by the Wikimedia Foundation and United Nations University at Maastricht is the source of a frequently cited statistic that less than 13% of Wikipedia contributors are female. However, the same study suggested that only 39.9% of Wikipedia readers in the US were female – a finding contradicted by a representative survey of American adults by the Pew Research Center conducted less than two months later. Combining these two datasets through an application and extension of a propensity score estimation technique used to model survey non-response bias, we construct revised estimates, contingent on explicit assumptions, for several of the Wikimedia Foundation and United Nations University at Maastricht claims about Wikipedia editors. We estimate that the proportion of female US adult editors was 27.5% higher than the original study reported (22.7%, versus 17.8%), and that the total proportion of female editors was 26.8% higher (16.1%, versus 12.7%). |
format | Online Article Text |
id | pubmed-3694126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36941262013-07-09 The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation Hill, Benjamin Mako Shaw, Aaron PLoS One Research Article Opt-in surveys are the most widespread method used to study participation in online communities, but produce biased results in the absence of adjustments for non-response. A 2008 survey conducted by the Wikimedia Foundation and United Nations University at Maastricht is the source of a frequently cited statistic that less than 13% of Wikipedia contributors are female. However, the same study suggested that only 39.9% of Wikipedia readers in the US were female – a finding contradicted by a representative survey of American adults by the Pew Research Center conducted less than two months later. Combining these two datasets through an application and extension of a propensity score estimation technique used to model survey non-response bias, we construct revised estimates, contingent on explicit assumptions, for several of the Wikimedia Foundation and United Nations University at Maastricht claims about Wikipedia editors. We estimate that the proportion of female US adult editors was 27.5% higher than the original study reported (22.7%, versus 17.8%), and that the total proportion of female editors was 26.8% higher (16.1%, versus 12.7%). Public Library of Science 2013-06-26 /pmc/articles/PMC3694126/ /pubmed/23840366 http://dx.doi.org/10.1371/journal.pone.0065782 Text en © 2013 Hill, Shaw 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 Hill, Benjamin Mako Shaw, Aaron The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title | The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title_full | The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title_fullStr | The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title_full_unstemmed | The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title_short | The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation |
title_sort | wikipedia gender gap revisited: characterizing survey response bias with propensity score estimation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694126/ https://www.ncbi.nlm.nih.gov/pubmed/23840366 http://dx.doi.org/10.1371/journal.pone.0065782 |
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