This assignment was created for a credit bearing course for first year students. It's designed to help students take what they've learned about algorithmic bias from the course lectures and readings and apply it to their own search practices. They also critically analyze search results for advertisements and compare DuckDuckGo to Google. [You could also look at this assignment as an adaptation of Jacob Berg's wonderful, "Googling Google," assignment at https://www.projectcora.org/assignment/googling-google-search-engines-market-actors ]

Students in an introductory Women's and Gender Studies course are required to critically analyze and edit an article in Wikipedia. Through class discussion and an active learning exercise, students begin to understand how and why women and many racial groups and individuals are underrepresented or systematically marginalized in Wikipedia. Students learn how to use the "Talk" tab to evaluate Wikipedia articles and learn about authority and power structures within that community.

There is a large body of research on corporate ownership and control of traditional media, such as print, television, and radio. Comparatively, research about corporate control of what we see online is underdeveloped, yet search engines are often the first place students uncritically look for research as opposed to the library website, catalogs, and discovery services. Dr. Safiya Noble shows that Google image searches for black women often perpetuate and reinforce dominant narratives involving racism and misogyny.