Algorithms are not neutral but this does not mean they are not useful tools for research. In this workshop on algorithmic bias, student learn how algorithms can perpetuate bias and discrimination and how to critically evaluate their search results.

This 30-minute activity was a quick introduction to algorithmic bias and the importance of critically evaluating search engine results. Algorithms increasingly shape modern life and can perpetuate bias and discrimination. In pairs, students analyzed the results from Google Image searches and Google Autocomplete suggestions. This activity was based on “Algorithms of Oppression: How Search Engines Reinforce Racism,” by Safiya Umoja Noble. This lesson plan was Part 1 of an hour-long workshop that also included a 30 minute Google Scholar activity.

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.