Monitoring the gender gap with Wikidata human gender indicators
- Authors
- Klein, M.; Gupta, H.; Rai, V.; Konieczny, P.; Zhu, H.
- Issue Date
- Aug-2016
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- Biographical Database; Gender Disparities; Wikidata; Wikipedia
- Citation
- Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016, pp.1 - 9
- Indexed
- OTHER
- Journal Title
- Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016
- Start Page
- 1
- End Page
- 9
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14680
- DOI
- 10.1145/2957792.2957798
- ISSN
- 0000-0000
- Abstract
- The gender gap in Wikipedia's content, specifically in the representation of women in biographies, is well-known but has been difficult to measure. Furthermore the impacts of efforts to address this gender gap have received little attention. To investigate we utilise Wikidata, the database that feeds Wikipedia, and introduce the Wikidata Human Gender Indicators (WHGI), a free and open source, longitudinal, biographical dataset monitoring gender disparities across time, space, culture, occupation and language. Through these lenses we show how the representation of women is changing along 11 dimensions. Validations of WHGI are presented against three exogenous datasets: the world's historical population, traditional gender-disparity indices (GDI, GEI, GGGI and SIGI), and occupational gender according to the US Bureau of Labor Statistics. Furthermore, to demonstrate its general use in research, we revisit previously published findings on Wikipedia's gender bias that can be strengthened by WHGI.
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