We use Google every day, but we do really understand why we get certain results? This event will explain what an algorithm is, how search engines use them, and how bias exists in our search results. Attendees will have a chance to reflect on the ways biased results can echo larger biases for representation in society. Access this site at your convenience at: https://jmu.libwizard.com/f/algorithms-bias
Co-creators: Malia Willey and Alyssa Young.
The assignment has students search the same topic in Google and the Web of Science or BIOSIS database. They are asked to pick one result from each search, identify its components (title, author, year) and identify the container of the information (journal, book, news, etc.). They are then asked to compare and reflect on the different results.
The Penn State Berks Privacy Workshop Series focuses on privacy issues for students in the past, present, and future. The Privacy Workshop spotlights privacy practices and concerns in the current moment; Digital Leadership explores future implications of past and current digital behaviors; Digital Shred provides tools to eval
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 ]
This workshop delivers an action-oriented introduction to personal data privacy designed for new college students.
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.
