@AUrman21 @dgarcia_eu Some pointers: https://t.co/CKCfSRIB5y https://t.co/RM8JoymW29
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation https://t.co/RyG9hiWvBO
RT @leonidobusch: Zum Schluss: nicht Mal die 9% weiblichen Wikipedia-Editoren stimmen so. Die Anteile schwanken stark nach Sprachversionen…
Zum Schluss: nicht Mal die 9% weiblichen Wikipedia-Editoren stimmen so. Die Anteile schwanken stark nach Sprachversionen und für die englische Version liegt der Anteil wohl über 10%. Zu den Schwierigkeiten der Messung: https://t.co/WpzPYSbQfy 11/12
今だと2割くらいになってるのかな https://t.co/6iAUhQChHT
Pour les autres je ne sais pas, mais moi je garantis que je suis un homme ! https://t.co/Wo5VPRgi4J
Global mansplaining 🙈
@ValoreD @Wikipedia Più probabilmente le #donne nella comunità #Wikipedia erano il 23 % (2011, USA): https://t.co/6FgM0eyun0 Ma ne vogliamo molte di più!
@PengBerlin The Wikipedia Gender Gap Revisited http://t.co/v4cYoymfgL
Or 16%? (http://t.co/b4ISiKFfMP, Hill & Shaw, 2013) #GenderGap #Wikipedia
The Wikipedia #GenderGap Revisited - by @makoshark @aaronshaw http://t.co/5bSkL9LAKw #wikimania2014
#PLOSONE: The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation http://t.co/Ihr74LczFT
#PLOSONE: The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation http://t.co/ngWo2qb0W7
(By @makoshark & @aaronshaw, in @PLOSONE 8 (6) doi:10.1371/journal.pone.0065782 http://t.co/fuFMVD0dCH … #PreviousTweet − HT @Jorm)
(By @makoshark & @aaronshaw, in @PLOSONE 8 (6) (juin 26): e65782. doi:10.1371/journal.pone.0065782 http://t.co/fuFMVD0dCH #PreviousTweet)
“The #Wikipedia #GenderGap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation” (2013) http://t.co/fuFMVD0dCH
Why opt-in surveys of #onlinecommunities produce biased results & what you can do about it http://t.co/zsNRfA62fC by @makoshark @aaronshaw
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
RT @aaronshaw: Why opt-in #surveys of online communities produce #biased results & what you can do about it: http://t.co/6ANpjgZgV6
RT @aaronshaw: Why opt-in #surveys of online communities produce #biased results & what you can do about it: http://t.co/KgeeubK44X
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation http://t.co/PJtmNGvnpy in @PlosOne
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/3D7YOVzo42 (with @aaronshaw)
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/69Nl7GcIbq (with @makoshark)
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Why opt-in surveys of online communities produce biased results & what you can do about it: http://t.co/9yKEMxVIpV by @makoshark, @aaronshaw
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/69Nl7GcIbq (with @makoshark)
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/69Nl7GcIbq (with @makoshark)
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with... @makoshark and @aaronshaw http://t.co/zPLMpoo01g @PLOSONE
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with... @makoshark and @aaronshaw http://t.co/zPLMpoo01g @PLOSONE
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/69Nl7GcIbq (with @makoshark)
Why opt-in surveys of online communities produce biased results and what you can do about it: http://t.co/69Nl7GcIbq (with @makoshark)
Revisiting the Wikipedia gender gap with @makoshark in @PLOSONE: http://t.co/69Nl7GcIbq
Wikipedia Gender Gap Revisited - Characterizing Survey Response Bias w Propensity Score Est http://t.co/ltsKQjWnaI HT @MITnews
The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation. http://t.co/tmUgL9M0aY
Wikipedia Gender Gap Revisited - Characterizing Survey Response Bias w Propensity Score Est http://t.co/kYhsikuqBB HT @MITnews
@Wikipedia Gender Gap Revisited - Characterizing Survey Response Bias w Propensity Score Est http://t.co/UwrqbCmCBJ HT @MITnews
#PLOS top5 #5: #Surveying online #populations. Adjusting #Wiki gender gap with #propensity #score estimation: http://t.co/yq5wLEzmPG
The Wikipedia gender gap (few women editing pages) is probably not as big as previously thought, but still pretty big http://t.co/5SAAxLPxWW
The Wikipedia Gender Gap Revisited http://t.co/jM4QA9MLI8
#PLOSONE - The #Wikipedia #Gender #Gap Revisited: Characterizing Survey Response Bias w/ #Propensity Score Estimation http://t.co/WwB75ovc92
The Wikipedia Gender Gap Revisited http://t.co/jM4QA9MLI8