Promising and Problematic Projects with Gender Data

Promising and Problematic Projects with Gender Data

• 1.
  MIT Media Lab civic.mit.edu/users/natematias @natematias natematias.com Greatwork by People Not Present at the 
 Gender Data 4 Change Workshop
• 2.
  See also myblog post: How to Identify Gender Datasets at Large Scales Ethically and Responsibly https://civic.mit.edu/blog/natematias/best-practices-for-ethical- gender-research-at-very-large-scales @natematias
• 3.
  Images by LanceWeisser, Fabio Grande, Ann Fandrey from The Noun Project
• 4.
  @eliancarsenat @_elena
• 5.
  @eliancarsenat @_elena
• 6.
  ePluribus : Ethnicityon Social Networks Jonathan Chang and Itamar Rosenn and Lars Backstrom and Cameron Marlow
• 7.
  Carter, J; Mistree,B. F. T. 2009. Gaydar: Facebook friendships expose sexual orientation. First Monday 14(10) 2009.
• 9.
  @jmreagle Lauren Rhue “GenderBias in Wikipedia and Britannica”
• 11.
  http://projects.aljazeera.com/2014/double-voters/index.html
• 12.
  http://projects.aljazeera.com/2014/double-voters/index.html
• 13.
  Based on analysisof 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/
• 14.
  Emma Pierson “Women constitutedthe majority only on five out of the 144 forums [in the New York Times]” http://qz.com/259149/how-men-dominate-online-commenting/
• 17.
  mako hill Opt-in surveysare 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
• 19.
  @kkarahal VisiPhone and ConversationClock Tony Bergstrom
• 20.
  @harrisj
• 21.
  “People Claim ObjectivityAfter Knowingly Using Biased Strategies”
 
 “not only did participants' sense of personal objectivity survive using a biased strategy, it grew stronger” @mlle_keh