Video games are packed full of endless potential. They are the telling of impossible narratives with something for every type of person. So then why has the industry historically been one of the worst for representations of race and gender? In this thesis, I define "good" media representation and engage in the analysis of both Overwatch (2016) and Detroit Become Human (2018) to observe the ways these two video games, which so outwardly market their diversity, have failed marginalized groups. Accompanying the research paper is a video game poster representing a woman of color designed by the author which is meant to learn from the mistakes of its predecessors.

This paper addresses the subjective experiences and personal stories of sex workers in the United States. To address this topic, I first discuss the organization and structure of this type of work and then discuss how it is related to gender norms, a culture of moral panic, and institutionalized sexism. All of this discussion is framed using feminist debates about the possible exploitative/liberatory aspects of sex work. After establishing the broader arguments, I transition into an analysis of qualitative studies that include sex workers’ own narratives about how they experience power, consent, and exploitation in the context of their work and their lives.

Using a dataset of ASU students from the 2016-2017 cohort, we interact gender and parent education level to observe gaps in academic achievement. We see a statistically insignificant achievement gap for males across parent education level, but a statistically significant achievement gap for females across parent education level. We also observe dropout gaps among these interaction groups. We see the widest dropout gap being between males across parent education level, with the smallest dropout gap being between females across parent education level. So with males we see an insignificant achievement gap but the widest dropout gap across parent education level, and with females we see a significant achievement gap but the smallest dropout gap across parent education level. What is driving these gaps and causing more similarly performing students to drop out at wider rates? At the aggregate level, we see larger gaps in grade- associated dropout probability across parent education level for males which may be able to explain the larger difference in overall proportions of dropouts between males. However, when predicting dropout probability of the semester with the most first generation and non-first generation dropouts, we see that females have the largest differences across parent education level in grade-associated dropout probability. This suggests that our model may be best suited in using college achievement data to predict overall dropout probabilities, not next-semester dropout probabilities using current semester data. Our findings also suggest that first generation students’ dropout probability is more sensitive to the grades they receive than non-first generation students.