Literatursammlung | FeKoM -Forschungsethik in der Kommunikations- und Medienwissenschaft

Algorithmen

Wenn Sie die einzelnen Literatureinträge auswählen, bekommen Sie eine Zusammenfassung und weitere Informationen.

Acquisti, A. (2014). The Economics and Behavioral Economics of Privacy. In J. Lane, V. Stodden, S. Bender, & H. Nissenbaum (Eds.), Privacy, Big Data, and the Public Good: Frameworks for Engagement (p. pp 76-95). Cambridge University Press. https://doi.org/10.1017/CBO9781107590205.005

Benbunan-Fich, R. (2016). The ethics of online research with unsuspecting users: From A/B testing to C/D experimentation. Research Ethics, 13(3–4), 200–218. https://doi.org/10.1177/1747016116680664

Boyd, D. (2016). Untangling research and practice: What Facebook’s “emotional contagion” study teaches us. Research Ethics, 12(1), 4–13. https://doi.org/10.1177/1747016115583379

Brown, S., Davidovic, J., & Hasan, A. (2021). The algorithm audit: Scoring the algorithms that score us. Big Data & Society, 8(1), 2053951720983865. https://doi.org/10.1177/2053951720983865

Dobrick, F. M., Fischer, J., & Hagen, L. M. (Eds.). (2018). Research Ethics in the Digital Age: Ethics for the Social Sciences and Humanities in Times of Mediatization and Digitization (1st ed.). VS Verlag für Sozialwissenschaften. https://www.springer.com/gp/book/9783658129088

Dreyer, S., & Schulz, W. (2018). Was bringt die Datenschutz-Grundverordnung für automatisierte Entscheidungssysteme? https://doi.org/10.11586/2018011

Faied, H. A. (2018). Perception of Digital Methods’ Ethics among Egyptian Researchers. In F. M. Dobrick, J. Fischer, & L. M. Hagen (Eds.), Research Ethics in the Digital Age (pp. 89–94). Springer VS. https://doi.org/10.1007/978-3-658-12909-5_7

Gerdon, F., Bach, R. L., Kern, C., & Kreuter, F. (2022). Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221089305

Grimm, P., & Krah, H. (2016). Privatsphäre. In J. Heesen (Ed.), Handbuch Medien- und Informationsethik (p. pp 178-185). J.B. Metzler. https://doi.org/10.1007/978-3-476-05394-7_24

Hartman, T., Kennedy, H., Steedman, R., & Jones, R. (2020). Public perceptions of good data management: Findings from a UK-based survey. Big Data & Society, 7(1), 2053951720935616. https://doi.org/10.1177/2053951720935616

Heesen, J. (Ed.). (2016). Handbuch Medien- und Informationsethik (1st ed.). J. B. Metzler Verlag. https://doi.org/10.1007/978-3-476-05394-7

Heise, N., & Heesen, J. (2016). Algorithmen. In Handbuch Medien- und Informationsethik (p. pp 202-209). J.B. Metzler. https://doi.org/10.1007/978-3-476-05394-7_27

Kreuter, F., & Peng, R. D. (2014). Extracting Information from Big Data: Issues of Measurement, Inference and Linkage. In J. Lane, V. Stodden, S. Bender, & H. Nissenbaum (Eds.), Privacy, Big Data, and the Public Good: Frameworks for Engagement (p. pp 257-275). Cambridge University Press. https://doi.org/10.1017/CBO9781107590205.016

Massanari, A. (2017). #Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures. New Media & Society, 19(3), 329–346. https://doi.org/10.1177/1461444815608807

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2). https://doi.org/10.1177/2053951716679679

Recuber, T. (2015). From obedience to contagion: Discourses of power in Milgram, Zimbardo, and the Facebook experiment. Research Ethics, 12(1), 44–54. https://doi.org/10.1177/1747016115579533

Taylor, L., Floridi, L., & van der Sloot, B. (Eds.). (2017). Group Privacy: New Challenges of Data Technologies. Springer International Publishing. https://doi.org/10.1007/978-3-319-46608-8

Williams, M. L., Burnap, P., & Sloan, L. (2017). Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation. Sociology, 51(6), 1149–1168. https://doi.org/10.1177/0038038517708140