promising and problematic projects with gender data
TRANSCRIPT
MIT Media Lab
civic.mit.edu/users/natematias
@natematias
natematias.com
Great work by People Not Present at the Gender Data 4 Change Workshop
See also my blog post:How to Identify Gender Datasets
at Large ScalesEthically and Responsibly
https://civic.mit.edu/blog/natematias/best-practices-for-ethical-gender-research-at-very-large-scales
@natematias
ePluribus : Ethnicity on Social Networks Jonathan Chang and Itamar Rosenn and Lars Backstrom and Cameron Marlow
Carter, J; Mistree, B. F. T. 2009. Gaydar: Facebook friendships expose sexual orientation. First Monday 14(10) 2009.
Based on analysis of over 35,000 speeches spanning more than a decade, this article discusses the consistent gender gap in speaker scores, and looks at some of its features and possible explanations.
Emma Pierson
http://mdr.monashdebaters.com/volume-11-2013/men-outspeak-women-analysing-the-gender-gap-in-competitive-debate/
Emma Pierson
“Women constituted the majority only on five out of the 144 forums [in the New York Times]”http://qz.com/259149/how-men-dominate-online-commenting/
mako hill
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.
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%).
http://mako.cc/copyrighteous/the-wikipedia-gender-gap-revisited
aaron shaw
“People Claim Objectivity After Knowingly Using Biased Strategies”
“not only did participants' sense of personal objectivity survive using a biased strategy, it grew stronger”
@mlle_keh