The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation
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{"title"=>"The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation", "type"=>"journal", "authors"=>[{"first_name"=>"Benjamin Mako", "last_name"=>"Hill", "scopus_author_id"=>"35772345700"}, {"first_name"=>"Aaron", "last_name"=>"Shaw", "scopus_author_id"=>"37011685700"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84879472758", "doi"=>"10.1371/journal.pone.0065782", "issn"=>"19326203", "pmid"=>"23840366", "scopus"=>"2-s2.0-84879472758", "pui"=>"369200428"}, "id"=>"1c2d9bff-6be3-349f-89b8-23c6ebd8073e", "abstract"=>"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%).", "link"=>"http://www.mendeley.com/research/wikipedia-gender-gap-revisited-characterizing-survey-response-bias-propensity-score-estimation", "reader_count"=>33, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Librarian"=>3, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>7, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Librarian"=>3, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>7, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Medicine and Dentistry"=>2, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>4, "Design"=>1, "Business, Management and Accounting"=>2, "Social Sciences"=>14, "Computer Science"=>7, "Economics, Econometrics and Finance"=>1, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>14}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>7}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>4}}, "reader_count_by_country"=>{"United States"=>5, "United Kingdom"=>1, "Italy"=>1, "Spain"=>1}, "group_count"=>2}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1102560"], "description"=>"<p>Standard errors in parentheses.</p>*<p>indicates significance at .</p><p>Weighted logistic regression model estimating the likelihood of a US adult Wikipedia reader responding to the WMF/UNU-MERIT survey along a set of covariates shared between the WMF/UNU-MERIT and Pew surveys. <i>age</i> is given in years and all other variables are dummy variables. Note that <i>education</i> is given a series of dummies with “less than high school diploma” as the omitted category.</p>", "links"=>[], "tags"=>["communications", "Media studies", "information science", "Sociology", "Social discrimination", "Gender discrimination", "Sexual and gender issues", "Social research", "Social stratification", "Social systems", "Sociology of knowledge", "regression"], "article_id"=>732710, "categories"=>["Sociology"], "users"=>["Benjamin Mako Hill", "Aaron Shaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065782.t001", "stats"=>{"downloads"=>5, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Logistic_Regression_Model_of_Participation_in_the_WMF_UNU_MERIT_Survey_/732710", "title"=>"Logistic Regression Model of Participation in the WMF/UNU-MERIT Survey.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-26 10:41:34"}
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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences/Computer networks", "average_usage"=>[305, 611, 720, 852, 967, 1083, 1164, 1318, 1393, 1500, 1607, 1714, 1797]}, {"subject_area"=>"/People and places", "average_usage"=>[270, 456, 573, 676, 773, 867, 955, 1037, 1120, 1205, 1286, 1363, 1436]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[265, 456, 578, 682, 782, 881, 965, 1053, 1133, 1223, 1310, 1391, 1457]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}, {"subject_area"=>"/Social sciences/Political science", "average_usage"=>[421, 740, 912, 1049, 1166, 1307, 1424, 1535, 1682, 1829, 1942, 2049, 2090]}]}
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