arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1906.07883cs.DLcs.CYcs.SI
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计算机科学著作中的性别趋势

Gender trends in computer science authorship

Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni

摘要:

对计算机科学文献(截至2019年1180万篇论文)的大规模最新分析表明,如果过去50年的趋势继续下去,本世纪将无法实现男女作者数量的平等。相比之下,平等预计将在20至30年内实现,或者可能已经在医学或社会学等其他研究领域实现。我们对计算机科学中的合作趋势的分析揭示了不同感知性别的作者之间的合作差距的大小。这一差距持续存在,但正在缩小,这与跨性别合作的速度随着时间的推移而缓慢增加相对应。总之,这些趋势说明了计算机科学文献作者中持续存在的性别差距,如果没有系统的干预,这种差距可能不会缩小。

英文摘要:

A large-scale, up-to-date analysis of Computer Science literature (11.8M papers through 2019) reveals that, if trends from the last 50 years continue, parity between the number of male and female authors will not be reached in this century. In contrast, parity is projected to be reached within two to three decades or may have already been reached in other fields of study like Medicine or Sociology. Our analysis of collaboration trends in Computer Science reveals shifts in the size of the collaboration gap between authors of different perceived genders. The gap is persistent but shrinking, corresponding to a slow increase in the rate of cross-gender collaborations over time. Together, these trends describe a persistent gender gap in the authorship of Computer Science literature that may not close without systematic intervention.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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