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Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
Journal of the Association for Information Science and Technology ( IF 3.5 ) Pub Date : 2020-01-22 , DOI: 10.1002/asi.24335
Vivek K. Singh 1 , Mary Chayko 1 , Raj Inamdar 1 , Diana Floegel 1
Affiliation  

Media platforms, technological systems, and search engines act as conduits and gatekeepers for all kinds of information. They often influence, reflect, and reinforce gender stereotypes, including those that represent occupations. This study examines the prevalence of gender stereotypes on digital media platforms and considers how human efforts to create and curate messages directly may impact these stereotypes. While gender stereotyping in social media and algorithms has received some examination in the recent literature, its prevalence in different types of platforms (for example, wiki vs. news vs. social network) and under differing conditions (for example, degrees of human‐ and machine‐led content creation and curation) has yet to be studied. This research explores the extent to which stereotypes of certain strongly gendered professions (librarian, nurse, computer programmer, civil engineer) persist and may vary across digital platforms (Twitter, the New York Times online, Wikipedia, and Shutterstock). The results suggest that gender stereotypes are most likely to be challenged when human beings act directly to create and curate content in digital platforms, and that highly algorithmic approaches for curation showed little inclination towards breaking stereotypes. Implications for the more inclusive design and use of digital media platforms, particularly with regard to mediated occupational messaging, are discussed.

中文翻译:

女图书馆员和男计算机程序员?数字媒体平台职业形象中的性别偏见

媒体平台、技术系统和搜索引擎充当各种信息的管道和看门人。他们经常影响、反映和强化性别刻板印象,包括那些代表职业的刻板印象。本研究调查了数字媒体平台上性别刻板印象的普遍性,并考虑了人类直接创建和管理信息的努力可能如何影响这些刻板印象。虽然社交媒体和算法中的性别刻板印象在最近的文献中得到了一些检验,但它在不同类型的平台(例如,维基、新闻、社交网络)和不同条件下(例如,人类和机器主导的内容创建和管理)还有待研究。这项研究探讨了某些强烈性别化的职业(图书管理员、护士、计算机程序员、土木工程师)的刻板印象在多大程度上持续存在,并且可能因数字平台(Twitter、纽约时报在线、维基百科和 Shutterstock)而异。结果表明,当人类直接采取行动在数字平台上创建和策划内容时,性别刻板印象最有可能受到挑战,并且高度算法化的策划方法几乎没有打破刻板印象的倾向。讨论了数字媒体平台更具包容性的设计和使用的影响,特别是在中介休闲信息方面。结果表明,当人类直接采取行动在数字平台上创建和策划内容时,性别刻板印象最有可能受到挑战,并且高度算法化的策划方法几乎没有打破刻板印象的倾向。讨论了数字媒体平台更具包容性的设计和使用的影响,特别是在中介休闲信息方面。结果表明,当人类直接采取行动在数字平台上创建和策划内容时,性别刻板印象最有可能受到挑战,并且高度算法化的策划方法几乎没有打破刻板印象的倾向。讨论了数字媒体平台更具包容性的设计和使用的影响,特别是在中介休闲信息方面。
更新日期:2020-01-22
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