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Episode 5: Birds of a Rainbow Feather

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Manage episode 263160063 series 2632959
Content provided by Centre for Internet and Society and Centre for Internet. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Centre for Internet and Society and Centre for Internet or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
With the proliferation of social media and digital platforms, user data has grown exponentially accompanied by a growing recognition of the uses of such large data sets. While demographic inference from big data sources is emerging as a significant use case of big data systems, the detection of a person’s gender and/or sexuality is often viewed as a key and foundational component, that is also uniquely problematic. This episode accompanies a survey that was undertaken to provide an approachable overview of the various methods researchers and other actors are using to infer gender and sexuality from large data sets, and explores the numerous problems and curiosities present in these methods. Reading: https://cis.pubpub.org/gender-sexuality-identification-methods-survey
  continue reading

11 episoade

Artwork
iconDistribuie
 
Manage episode 263160063 series 2632959
Content provided by Centre for Internet and Society and Centre for Internet. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Centre for Internet and Society and Centre for Internet or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
With the proliferation of social media and digital platforms, user data has grown exponentially accompanied by a growing recognition of the uses of such large data sets. While demographic inference from big data sources is emerging as a significant use case of big data systems, the detection of a person’s gender and/or sexuality is often viewed as a key and foundational component, that is also uniquely problematic. This episode accompanies a survey that was undertaken to provide an approachable overview of the various methods researchers and other actors are using to infer gender and sexuality from large data sets, and explores the numerous problems and curiosities present in these methods. Reading: https://cis.pubpub.org/gender-sexuality-identification-methods-survey
  continue reading

11 episoade

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