Dynamics of Gender Bias within Computer Science.
This article explores the issue of gender bias in computer science, specifically focusing on women's participation in research authorship within the ACM Special Interest Groups (SIGs). The data reveals that while there has been progress since 2009, women's participation still lags behind levels seen...
| Published in: | Information & Culture Vol. 59; no. 2; pp. 161 - 182 |
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| Format: | Article |
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University of Texas Press
2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=178282416&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 178282416 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 21648034 FB2C jtl: Information & Culture issn: 21648034 maglogo: N pubinfo: dt: 2024 vid: 59 iid: 2 pid: 519 pub: University of Texas Press artinfo: ui: 178282416 10.7560/ic59203 ppf: 161 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 616KB tig: atl: Dynamics of Gender Bias within Computer Science. aug: au: Misa, Thomas J. su: Gender stereotypes Computer science Sex discrimination Occupational segregation Scientific computing Women's empowerment Abstraction (Computer science) Computer science conferences Computer vision sug: subj: Gender stereotypes Computer science Sex discrimination Occupational segregation Scientific computing Women's empowerment Abstraction (Computer science) Computer science conferences Computer vision ab: This article explores the issue of gender bias in computer science, specifically focusing on women's participation in research authorship within the ACM Special Interest Groups (SIGs). The data reveals that while there has been progress since 2009, women's participation still lags behind levels seen in the mid-1980s. The article emphasizes the importance of understanding the nuances of gender bias within different subfields of computer science. It also highlights the limitations of using gender-identification software and the challenges of determining gender for non-American authors. The article suggests that efforts should be directed towards retaining women in SIGs with higher levels of women's authorship and promoting culture change in SIGs with lower levels. Further research is needed to gain a deeper understanding of gender bias and the specific cultures within different SIGs. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Information & Culture is the property of University of Texas Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Information & Culture holder: University of Texas Press dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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