| Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature C Starke, J Baleis, B Keller, F Marcinkowski Big Data & Society 9 (2), 20539517221115189, 2022 | 198 | 2022 |
| Implications of AI (un-) fairness in higher education admissions: the effects of perceived AI (un-) fairness on exit, voice and organizational reputation F Marcinkowski, K Kieslich, C Starke, M Lünich Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 198 | 2020 |
| Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence K Kieslich, B Keller, C Starke Big Data & Society 9 (1), 20539517221092956, 2022 | 131 | 2022 |
| Free to Expose Corruption: The Impact of Media Freedom, Internet Access and Governmental Online Service Delivery on Corruption C Starke, H Naab Teresa K., Scherer International Journal of Communication 10, 4702 – 4722, 2016 | 113 | 2016 |
| Artificial intelligence for political decision-making in the European Union: Effects on citizens’ perceptions of input, throughput, and output legitimacy C Starke, M Lünich Data & Policy 2, e16, 2020 | 98 | 2020 |
| A social psychological view on the social norms of corruption NC Köbis, D Iragorri-Carter, C Starke Corruption and norms: Why informal rules matter, 31-52, 2018 | 76 | 2018 |
| Social networking sites, personalization, and trust in government: Empirical evidence for a mediation model C Starke, F Marcinkowski, F Wintterlin Social Media+ Society 6 (2), 2056305120913885, 2020 | 57 | 2020 |
| The promise and perils of using artificial intelligence to fight corruption N Köbis, C Starke, I Rahwan Nature Machine Intelligence 4 (5), 418-424, 2022 | 56 | 2022 |
| Artificial Intelligence as an Anti-Corruption Tool (AI-ACT)--Potentials and Pitfalls for Top-down and Bottom-up Approaches N Köbis, C Starke, I Rahwan arXiv preprint arXiv:2102.11567, 2021 | 38 | 2021 |
| Mediensystem und politische Kommunikation F Marcinkowski, F Flemming, C Starke Handbuch der Schweizer Politik, 435-462, 2014 | 35* | 2014 |
| Machine learning and artificial intelligence in higher education: a state-of-the-art report on the German University landscape B Keller, J Baleis, C Starke, F Marcinkowski Heinrich-Heine-Universität Düsseldorf, 1-31, 2019 | 32 | 2019 |
| Who is responsible for doping in sports? The attribution of responsibility in the German print media C Starke, F Flemming Communication & Sport 5 (2), 245-262, 2017 | 32 | 2017 |
| Solidarity in the public sphere: A discourse network analysis of German newspapers (2008–2017) S Wallaschek, C Starke, C Brüning Politics and Governance 8 (2), 257-271, 2020 | 29 | 2020 |
| Trust in government: What's news media got to do with it? F Marcinkowski, C Starke Studies in Communication Sciences 18 (1), 87-102, 2018 | 28 | 2018 |
| Hochschule der Zukunft: Einstellungen von Studierenden gegenüber Künstlicher Intelligenz an der Hochschule K Kieslich, M Lünich, F Marcinkowski, C Starke Düsseldorf Institute for Internet und Democracy, 2019 | 27 | 2019 |
| Double crisis: Sport mega events and the future of public service broadcasting M Lünich, C Starke, F Marcinkowski, P Dosenovic Communication & Sport 9 (2), 287-307, 2021 | 25 | 2021 |
| AI-ethics by design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI K Kieslich, B Keller, C Starke arXiv preprint arXiv:2106.00326, 2021 | 21 | 2021 |
| Wann ist Künstliche Intelligenz (un-) fair? F Marcinkowski, C Starke Politik in der digitalen Gesellschaft| Band, 269, 2019 | 18 | 2019 |
| The Corruption Risks of Artificial Intelligence N Köbis, C Starke, J Edward-Gill https://knowledgehub.transparency.org/assets/uploads/kproducts/The …, 2022 | 12* | 2022 |
| Coping with dilemma: How German sport media users respond to sport mega events in autocratic countries F Flemming, M Luenich, F Marcinkowski, C Starke International Review for the Sociology of Sport 52 (8), 1008-1024, 2017 | 12 | 2017 |
Kimon KieslichUniversity of AmsterdamEmail verificata su uva.nl