References
- Addie, Jean-Paul D., Michael R. Glass, and Jen Nelles. 2019. “Regionalizing the Infrastructure Turn: A Research Agenda.” Regional Studies, Regional Science 7 (1): 10–26. https://doi.org/10.1080/21681376.2019.1701543.
- Alcoff, Linda Martín. 2007. “Epistemologies of Ignorance: Three Types.” In Race and Epistemologies of Ignorance, edited by Sharon Sullivan and Nancy Tuana, 39–58. Albany: State University of New York Press.
- Baker, Chris L., Joshua B. Tenenbaum, and Rebecca R. Saxe. 2005. “Bayesian Models of Human Action Understanding.” In NIPS’05: Proceedings of the 18th International Conference on Neural Information Processing Systems, 99–106. Cambridge, MA: MIT Press.
- Begby, Endre. 2021. Prejudice: A Study in Non-Ideal Epistemology. Oxford: Oxford University Press.
- Christakis, Nicholas A., and James H. Fowler. 2009. Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives. New York: Little, Brown, and Company.
- Clifford, W. K. 1877. “The Ethics of Belief.” The Contemporary Review 29:289–309.
- Durkee, Alison. 2023. “Republicans Increasingly Realize There’s No Evidence of Election Fraud—But Most Still Think 2020 Election Was Stolen Anyway, Poll Finds.” Forbes. https://www.forbes.com/sites/alisondurkee/2023/03/14/republicans-increasingly-realize-theres-no-evidence-of-election-fraud-but-most-still-think-2020-election-was-stolen-anyway-poll-finds/?sh=130681b28ecb.
- Eady, Gregory, Jonathan Nagler, Andy Guess, Jan Zilinksy, and Joshua A. Tucker. 2019. “How Many People Live in Political Bubbles on Social Media? Evidence From Linked Survey and Twitter Data.” SMaPP Global Special Issue 9 (1): 1–21. https://doi.org/10.1177/2158244019832705.
- Einhorn, Eric. 2021. “Detroit Segregation Wall Stands, a Stark Reminder of Racial Divisions.” https://www.nbcnews.com/specials/detroit-segregation-wall/.
- El-Gamal, Mahmoud A., and David M. Grether. 1995. “Are People Bayesian? Uncovering Behavioral Strategies.” The Journal of the American Statistical Association 90 (432): 1137–1145. https://doi.org/10.1080/01621459.1995.10476620.
- Fortunato, S., A. Flammini, F. Menczer, and A. Vespignani. 2006. “Topical Interests and the Mitigation of Search Engine Bias.” PNAS 103 (34): 12684–12689. https://doi.org/10.1073/pnas.0605525103.
- Graham, Stephen, and Simon Marvin. 2001. Splintering Urbanism: Networked Infrastructures, Technological Mobilities and the Urban Condition. London: Routledge. https://doi.org/10.4324/9780203452202.
- Grevet, Catherine, Loren Terveen, and Eric Gilbert. 2014. “Managing Political Differences in Social Media.” In CSCW 2014: Social Media and Politics, Baltimore, MD, 1400–1408.
- Kasser, Jeff. 2016. “Two Conceptions of Weight of Evidence in Peirce’s Illustrations of the Logic of Science.” Erkenntnis 81 (3): 629–648. https://doi.org/10.1007/s10670-015-9759-5.
- Keijzer, Marijin A., Michael Mäs, and V. de Boer. 2022. “The Complex Link Between Filter Bubbles and Opinion Polarization.” Data Science 5 (2): 139–166. https://doi.org/10.3233/DS-220054.
- Kitchens, Brent, Steven L. Johnson, and Peter Gray. 2020. “Understanding Echo Chambers and Filter Bubbles: The Impact of Social Media on Diversification and Partisan Shifts in New Consumption.” MIS Quarterly 44 (4): 1619–1650. https://doi.org/10.25300/MISQ/2020/16371.
- Mills, Charles W. 2007. “White Ignorance.” In Race and Epistemologies of Ignorance, edited by Sharon Sullivan and Nancy Tuana, 11–38. Albany: State University of New York Press.
- Nguyen, C. Thi. 2020. “Echo Chambers and Epistemic Bubbles.” Episteme 17 (2): 141–161. https://doi.org/10.1017/epi.2018.32.
- Peirce, Charles S. 2014. Illustrations of the Logic of Science. Edited by Cornelis de Waal. Chicago: Open Court.