Media Industries, AI, and Working in Media

Readings consider how media content is created within a variety of real-life contexts, whether by humans, artificial intelligence (AI), or human-machine interaction. Readings address algorithms and algorithmic bias in new and emerging media, examining the implications of algorithmic bias for potentially vulnerable groups as well as algorithmic accountability; how gender bias manifests through text prompts in visual generative AI systems during text-to-image creation; differences in how three widely used visual generative AI systems (DALL-E 3, Midjourney, and Stable Diffusion) represent feminism (diversity, symbolism, and aesthetic strategies); challenges faced by the lead designer/writer of the tabletop role-playing game Coyote & Crow , which reflects Indigenous values and principles; an analysis of the power structures and inequalities affecting East Asian models as reflected in Asian stereotypes in advertisements, based in part on autoethnographic methods; how journalists perform resilience when confronted with hostility from sources and how such resilience practices are mediated by the journalists’ gender and race; how female online journalists of color understand their experiences with incivility in readers’ responses to their articles; using the concepts of cultural and occupational citizenship to explore the implications of the Indian diaspora entering the US news media workforce; and using oral history interviews to learn that Asian American journalists had often experienced isolation and insensitivity in the newsroom and insensitivity but were proud of being pioneers and working with other journalists in Pan-Asian solidarity to fight discrimination in the newsroom.