Mining huge datasets of English reveals stereotypes about gender, race, and class prevalent in English-speaking societies. Tessa Charlesworth and colleagues developed a stepwise procedure, Flexible Intersectional Stereotype Extraction (FISE), which they applied to billions of words of English Internet text.