Johanson, P. (2018). Online filter bubbles (First ed., Opposing viewpoints series (Unnumbered)). New York, NY: Greenhaven Publishing. (book)
Flaxman, S., Goel, S., & Rao, J. (2016). Filter Bubbles, Echo Chambers, and Online News Consumption. Public Opinion Quarterly, 80(S1), 298-320.
Steglich, C. (2018). Why echo chambers form and network interventions fail: Selection outpaces influence in dynamic networks.
Wachter-Boettcher, S. (2017). Technically wrong : Sexist apps, biased algorithms, and other threats of toxic tech (First ed.). New York, NY: W.W. Norton & Company. (book)
Nicol Turner Lee. (2018). Detecting racial bias in algorithms and machine learning. Journal of Information, Communication & Ethics in Society, 16(3), 252-260.
Ayre, L., & Craner, J. (2018). The Baked-In Bias of Algorithms. Collaborative Librarianship, 10(2), 76.
Tedtalks: Joy Buolamwini—How I'm fighting bias in algorithms [Video file]. (2017). Retrieved November 8, 2019.