arXiv Open Access 2021

Implicit Gender Bias in Computer Science -- A Qualitative Study

Aurélie Breidenbach Caroline Mahlow Andreas Schreiber

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Abstrak

Gender diversity in the tech sector is - not yet? - sufficient to create a balanced ratio of men and women. For many women, access to computer science is hampered by socialization-related, social, cultural and structural obstacles. The so-called implicit gender bias has a great influence in this respect. The lack of contact in areas of computer science makes it difficult to develop or expand potential interests. Female role models as well as more transparency of the job description should help women to promote their - possible - interest in the job description. However, gender diversity can also be promoted and fostered through adapted measures by leaders.

Topik & Kata Kunci

cs.CY cs.SE

Penulis (3)

Aurélie Breidenbach

Caroline Mahlow

Andreas Schreiber

Format Sitasi

APA MLA BibTeX

Breidenbach, A., Mahlow, C., Schreiber, A. (2021). Implicit Gender Bias in Computer Science -- A Qualitative Study. https://arxiv.org/abs/2107.01624

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓