1. Amoore, L., A. Campolo, B. Jacobsen, und L. Rella. 2023. Machine learning, meaning making: On reading computer science texts. Big Data & Society 10(1): 1–13.
2. Apprich, C., W.H.K. Chun, F. Cramer, und H. Steyerl. 2018. Pattern discrimination. Lüneburg/Minneapolis: Meson Press/University of Minnesota Press.
3. Arguedas, R., T. Robertson, R. Fletcher, und R.K. Nielsen. 2022. Echo chambers, filter bubbles, and polarisation: A literature review. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/echo-chambers-filter-bubbles-and-polarisation-literature-review. Zugegriffen am 11.06.2024.
4. Berry, D. 2013. Understanding digital humanities. London: Palgrave Macmillan.
5. Bishop, C.M. 2006. Pattern recognition and machine learning. New York: Springer.