On 13/10/13 23:21, Magnus Manske wrote:
If you need to push through automated sexing for items without sex property, point to my similar attempt in June: https://www.wikidata.org/wiki/Wikidata:Bot_requests#Set_sex:male_for_item_li...
Thanks, the list I got from the items with sex is already longer than I need. My main problem is sexing Asian authors. Not sure if name-based approaches are promising there at all.
Markus
On Sun, Oct 13, 2013 at 11:16 PM, Markus Krötzsch <markus@semantic-mediawiki.org mailto:markus@semantic-mediawiki.org> wrote:
Hi all, I'd like to share a little Wikidata application: I just used Wikidata to guess the sex of people based on their (first) name [1]. My goal was to determine gender bias among the authors in several research areas. This is how some people spend their free time on weekends ;-) In the process, I also created a long list of first names with associated sex information from Wikidata [2]. It is not super clean but it served its purpose. If you are a researcher, then maybe the gender bias of journals/conferences is interesting to you as well. Details and some discussion of the results are online [1]. Cheers, Markus [1] http://korrekt.org/page/Note:__Sex_Distributions_in_Research <http://korrekt.org/page/Note:Sex_Distributions_in_Research> [2] https://docs.google.com/__spreadsheet/ccc?key=0AstQ5xfO-__xXGdE9UVkxNc0JMVWJzNmJqNmhPRjc__0cnc&usp=sharing <https://docs.google.com/spreadsheet/ccc?key=0AstQ5xfO-xXGdE9UVkxNc0JMVWJzNmJqNmhPRjc0cnc&usp=sharing> _________________________________________________ Wikidata-l mailing list Wikidata-l@lists.wikimedia.org <mailto:Wikidata-l@lists.wikimedia.org> https://lists.wikimedia.org/__mailman/listinfo/wikidata-l <https://lists.wikimedia.org/mailman/listinfo/wikidata-l>-- undefined
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