Dr. C.D.R.O. (Chris) Starke
Faculty of Social and Behavioural Sciences
CW : Political Communication & Journalism
Visiting address
- Nieuwe Achtergracht 166
Postal address
- Postbus 15791
1001 NG Amsterdam
Contact details
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Publications
2022
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design: Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221092956 [details]- Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4(5), 418–424. https://doi.org/10.1038/s42256-022-00489-1 [details]
- Starke, C., Baleis, J., Keller, B., & Marcinkowski, F. (2022). Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature. Big Data & Society, 9(2). https://doi.org/10.1177/20539517221115189 [details]
2021
- Lünich, M., Starke, C., Marcinkowski, F., & Dosenovic, P. (2021). Double Crisis: Sport Mega Events and the Future of Public Service Broadcasting. Communication & Sport, 9, 287-307. https://doi.org/10.1177/2167479519859208
- Starke, C. (2021). European Solidarity Under Scrutiny: Empirical Evidence for the Effects of Media Identity Framing. (Palgrave Studies in European Political Sociology). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-67179-2 [details]
2020
- Marcinkowski, F., Kieslich, K., Starke, C., & Lünich, M. (2020). Implications of AI (un-)fairness in higher education admissions: The effects of perceived AI (un-)fairness on exit, voice and organizational reputation. In FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 122–130). ACM. https://doi.org/10.1145/3351095.3372867
- Starke, C., & Lünich, M. (2020). Artificial Intelligence for Political Decision-Making in the European Union: Effects on Citizens’ Perceptions of Input, Throughput, and Output Legitimacy. Data & Policy, 2, [ e16]. https://doi.org/10.1017/dap.2020.19
- Starke, C., Marcinkowski, F., & Wintterlin, F. (2020). Social Networking Sites, Personalization, and Trust in Government: Empirical Evidence for a Mediation Model. Social Media + Society, 6. https://doi.org/10.1177/2056305120913885
- Wallaschek, S., Starke, C., & Brüning, C. (2020). Solidarity in the Public Sphere: A Discourse Network Analysis of German Newspapers (2008-2017). Politics and Governance, 8, 257–271. https://doi.org/10.17645/pag.v8i2.2609
2018
- Marcinkowski, F., & Starke, C. (2018). Trust in Government: What's News Media Got to Do with it? Studies in Communication Sciences, 18(1), 87-102. https://doi.org/10.24434/j.scoms.2018.01.006
- Marcinkowski, F., Starke, C., & Lünich, M. (2018). Spontaneous Trait Inferences from Candidates’ Faces: The Impact of the Face Effect on Election Outcomes in Germany. Acta Politica, 53, 231–247. https://doi.org/10.1057/s41269-017-0048-y
2017
- Flemming, F., Lünich, M., Marcinkowski, F., & Starke, C. (2017). Coping with Dilemma: How German Sport Media Users Respond to Sport Mega Events in Autocratic Countries. International Review for the Sociology of Sport, 52, 1008-1024. https://doi.org/10.1177/1012690216638545
- Starke, C., & Flemming, F. (2017). Who is Responsible for Doping in Sports? The Attribution of Responsibility in the German Print Media. Communication & Sport, 5, 245-262. https://doi.org/10.1177/2167479515603712
2016
- Starke, C. D. R. O., & Hofmann, L. (2016). Is the Euro-crisis a catalyst for European identity? The complex relationship between conflicts, the public sphere and collective identity. European Policy Review, 1, 15-26.
- Starke, C., Naab, T., & Scherer, H. (2016). Free to Expose Corruption: The Impact of Media Freedom, Internet Access and Governmental Online Service Delivery on Corruption. International Journal of Communication, 10, 4702–4722.
2023
- Forjan, J., Köbis, N. C., & Starke, C. D. R. O. (Accepted/In press). Artificial Intelligence as a Weapon to fight Corruption: Civil Society Actors on the Benefits and Risks of Existing Bottom-up Approaches. In A. Mattoni (Ed.), Digital Media and Grassroots Anti-Corruption: Contexts, Platforms and Practices of Anti-Corruption Technologies Worldwide Edward Elgar Publishing.
2022
- Köbis, N. C., Starke, C., & Edward-Gill, J. (2022). The corruption risks of artificial intelligence. Transparency International. https://knowledgehub.transparency.org/product/the-corruption-risks-of-artificial-intelligence
- Starke, C. (2022). Social media and political trust. In A. Ceron (Ed.), Elgar encyclopedia of technology and politics (pp. 46-50). (Elgar encyclopedias in the social sciences series). Edward Elgar Publishing. https://doi.org/10.4337/9781800374263.social.media.political [details]
2019
- Marcinkowski, F., & Starke, C. D. R. O. (2019). Wann ist Künstliche Intelligenz (un)fair? Ein sozialwissenschaftliches Konzept von KI-Fairness. In J. Hofmann, N. Kersting, C. Ritzi, & W. J. Schünemann (Eds.), Politik in der digitalen Gesellschaft: Zentrale Problemfelder und Forschungsperspektiven (pp. 269-288). Transcript .
2018
- Köbis, N. C., Iragorri-Carter, D., & Starke, C. (2018). A social psychological view on the social norms of corruption. In I. Kubbe, & A. Engelbert (Eds.), Corruption and norms: Why informal rules matter (pp. 31-52). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-66254-1_3 [details]
2017
- Köbis, N., & Starke, C. (2017). Why did the Panama Papers (not) shatter the world? The relationship between Journalism and Corruption. In A. K. Schwickerath, A. Varraich, & L-L. Smith (Eds.), How to research corruption?: Conference Proceedings: Interdisciplinary Corruption Research Forum, June 2016, Amsterdam (pp. 69-78). Interdisciplinary Corruption Research Network. https://www.icrnetwork.org/app/download/11106137321/ICR-Amsterdam-Conference-Proceedings.pdf?t=1500266876 [details]
Others
- Starke, C. (other), Köbis, N. (other) & Stephenson, M. (other) (2019). Kickback - The Global Anti-Corruption Podcast (other). https://soundcloud.com/kickback-gap
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Ancillary activities
No ancillary activities
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design: Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1).