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Identifying and Analyzing Cryptocurrency Manipulations in Social Media
Interest surrounding cryptocurrencies, digital or virtual currencies tha...
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Gendered Conversation in a Social Game-Streaming Platform
Online social media and games are increasingly replacing offline social ...
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Attention-based method for categorizing different types of online harassment language
In the era of social media and networking platforms, Twitter has been do...
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Facebook's gender divide
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The Effect of Extremist Violence on Hateful Speech Online
User-generated content online is shaped by many factors, including endog...
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Would Motor-Imagery based BCI user training benefit from more women experimenters?
Mental Imagery based Brain-Computer Interfaces (MI-BCI) are a mean to co...
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The COVID-19 Infodemic: Twitter versus Facebook
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Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
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 recent literature, its prevalence in different types of platforms (e.g., wiki vs. news vs. social network) and under differing conditions (e.g., 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.
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