ABSTRACT
This chapter examines how users of the website RateMyProfessors.com (RMP) evaluate their mathematics instructors. In particular, it explores patterns of evaluation related to the instructors’ gender and the intersection of gender with national origin, language, or race. Drawing on corpus-driven keyword analysis, I show that the qualities to which RMP users point show gendered patterns that are similar for instructors with common U.S. last names and for those with common Chinese or Korean last names. I also show that these qualities, humor, and pleasantness, take on different meanings and values in light of how RMP users view their instructors’ language.
