Difference between revisions of "The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation"
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| − | '''The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation''' - scientific work related to Wikipedia quality published in 2013, written by Benjamin Mako Hill, Benjamin Mako Hill, Aaron Shaw and Aaron Shaw. | + | '''The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Benjamin Mako Hill]], [[Benjamin Mako Hill]], [[Aaron Shaw]] and [[Aaron Shaw]]. |
== Overview == | == Overview == | ||
| − | 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, authors construct revised estimates, contingent on explicit assumptions, for several of the Wikimedia Foundation and United Nations University at Maastricht claims about Wikipedia editors. Authors 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%). | + | 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, authors construct revised estimates, contingent on explicit assumptions, for several of the [[Wikimedia]] Foundation and United Nations University at Maastricht claims about [[Wikipedia editors]]. Authors 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%). |
Revision as of 13:00, 19 October 2019
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation - scientific work related to Wikipedia quality published in 2013, written by Benjamin Mako Hill, Benjamin Mako Hill, Aaron Shaw and Aaron Shaw.
Overview
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, authors construct revised estimates, contingent on explicit assumptions, for several of the Wikimedia Foundation and United Nations University at Maastricht claims about Wikipedia editors. Authors 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%).
