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Crowdsourcing Gender Diversity

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Crowdsourcing Gender Diversity

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In this talk, I offered an overview of the history and my current work designing systems to crowdsource gender diversity.

Presentation at the Gender Data 4 Change workshop, hosted by the Center for Civic Media, Datakind, and Microsoft in November 2014.

In this talk, I offered an overview of the history and my current work designing systems to crowdsource gender diversity.

Presentation at the Gender Data 4 Change workshop, hosted by the Center for Civic Media, Datakind, and Microsoft in November 2014.

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Crowdsourcing Gender Diversity

  1. 1. MIT Media Lab civic.mit.edu/users/natematias @natematias natematias.com
  2. 2. Images by Lance Weisser, Fabio Grande, Ann Fandrey from The Noun Project research a system of power that is assumed to be the norm design approach co-design alternative (imperfect)
 data lenses to observe & critique with data & software, support cooperation to address & change those structures
  3. 3. Images by Simon Child, Lance Weisser, Luis Prado, Dillon Arloff, from The Noun Project publishers The  Public Powerful  People  &   Ins4tu4ons Advocacy Transparency
  4. 4. 4 [Jurney, Dorothy Misener (1909-2002), Papers, 1920-1992 (C3904), The State Historical Society of Missouri, Manuscript Collection-Columbia]
  5. 5. Source: “Who Makes the News?” 
 Global Media Monitoring Project
  6. 6. Images by Simon Child, Lance Weisser, Luis Prado, Dillon Arloff, from The Noun Project algorithms ci0zen  media biases the  crowd publishers
  7. 7. @objectgroup@natema0as http://natematias.com/medialab/uknews-gender/
  8. 8. @objectgroup@natema0as 0 25 50 75 100 Content Social Guardian  Opinion 0 25 50 75 100 Content Social women both men Telegraph  Opinion http://natematias.com/medialab/uknews-gender/
  9. 9. http://www.pbs.org/idealab/2012/08/did-global-voices-use-diverse-sources-on-twitter-for-arab-spring-coverage228/ Who’s Quoted and Mentioned http://natematias.com/medialab/gv-viewer/ @natema0as
  10. 10. @ireneros@natema0as Adam  Hyland http://www.theguardian.com/news/datablog/2013/mar/08/data-gender-global-voices
  11. 11. @natema'as) @dearsarah) Social  Media
  12. 12. 14
  13. 13. 6
  14. 14. 16
  15. 15. The  Crowd 0% 20% 40% 60% 80% 100% Women Men New  York  Times   Obituaries Wikipedia  
 Biographies
  16. 16. @natema0as Sophie  Diehl http://passingon.natematias.com
  17. 17. @natema0as Sophie  Diehl http://passingon.natematias.com
  18. 18. @natema0as Sophie  Diehl http://passingon.natematias.com
  19. 19. @natema0as Sophie  Diehl http://passingon.natematias.com
  20. 20. Replicating “Who Narrates the World” with MediaCloud 
 Pilot Analysis for the Op Ed Project (do not quote) J. Nathan Matias, Pamela Mishkin, Heather Craig, Sands Fish, 
 David Larochelle, Whitney Erin Boesel, Ali Hashmi DRAFT: NOT PUBLIC
  21. 21. Tools @natema0as@ireneros Adam  Hyland Bocoup
  22. 22. Open  Gender  Tracker  Interac0ve  API  Explorer
 (montage  of  interface  elements,  ar1cles  men1oning  Beer,  Boston  Globe,  Jan  -­‐  March  2013)  
  23. 23. @malev
  24. 24. @jeremybmerrill
  25. 25. MIT Media Lab text Gender Analysis API https://github.com/OpenGenderTracking/ Author Content Overview Mentioned / Quoted GET /gender?name = Dan Sinker POST /content $text = <TEXT> POST /mentioned $text = <TEXT> @gaba@natematias
  26. 26. Adrienne LaFrance
  27. 27. 5% 10% 85% male female unknown Content Gender Accept
  28. 28. @natema0as GenderData4Change @willowbl00
  29. 29. @natema0as@glantzings @yjkogan @schmutzie app.genderavenger.com @mstem
  30. 30. @natema0as DRAFT: DO NOT QUOTE
  31. 31. Images by Lance Weisser, Fabio Grande, Ann Fandrey from The Noun Project
  32. 32. MIT Media Lab civic.mit.edu/users/natematias @natematias natematias.com

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