Search results
Results: 16
Number of items: 16
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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 -
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
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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
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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
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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
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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
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