Search results
Results: 18
Number of items: 18
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Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2026). Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action. Journal of Information Technology and Politics, 23(3), 237–25. https://doi.org/10.1080/19331681.2025.2465326 -
Starke, C., & Kelm, O. (2025). Political Consumerism. In A. Nai, M. Grömping, & D. Wirz (Eds.), Elgar Encyclopedia of Political Communication (Vol. 3, pp. 212-215). (Elgar encyclopedias in the social sciences). Edward Elgar Publishing. https://doi.org/10.4337/9781035301447.vol3.00055
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Boland, K., Starke, C., Bensmann, F., Marcinkowski, F., & Dietze, S. (2025). Themes, policies, and attention shifts regarding COVID-19 vaccinations in German-speaking regions: Infoveillance Study Using Tweets. Journal of Medical Internet Research, 27, Article e63909. https://doi.org/10.2196/63909 -
Tulin, M., Pantazi, M., Starke, C., Sivolap, M., & Dobber, T. (2025). Echoes of Doubt: Exposure to Information About Generative AI Decreases Believability of News. International Journal of Communication, 19, 3712–3735. https://ijoc.org/index.php/ijoc/article/view/24772 -
Dobber, T., Hameleers, M., Starke, C., & van der Meer, T. (2025). Generative AI and Disinformation : A Beacon of Trustworthiness in a Sea of Disinformation: Does News Coverage About the Dangers of Generative AI Cause People to Flock to Journalism? International Journal of Communication : IJoC, 19, 3691–3711. https://ijoc.org/index.php/ijoc/article/view/24773 -
Starke, C., Metikoš, L., Helberger, N., & de Vreese, C. (2025). Contesting personalized recommender systems: a cross-country analysis of user preferences. Information, Communication & Society, 28(1), 41-60. https://doi.org/10.1080/1369118X.2024.2363926 -
Institute for Global Analytics, Grimes, M., Wickberg, S., Starke, C., Gharib Seif, S., Bratu, R., Benoît, C., Axinte, L. A., Carbone, C., Riccardi, M., Panyi, R., Poltoratskaia, V., Lo Piccolo, A., Biletskyi, A., Churypa, O., Bačová, B., & Filipova, R. (2025, November 5). RESPOND WP2.2 Legal Frameworks Dataset of the Report "Political Graft in Europe on the Loose: Anti-Corruption Legal Frameworks in Comparative Historical Perspective"9 catalogues of legal regulations prepared as part of RESPOND work package 2.2. focused on the review and assessment of legislation related to political finance, lobbying, conflict-of-interest/revolving doors, media and cross-border practices of political corruption in Sweden, the Netherlands, the UK, France, Italy, Hungary, Bulgaria, Serbia and Ukraine [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17535651
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Starke, C., Blanke, T., Helberger, N., Smets, S., & de Vreese, C. (2025). Interdisciplinary Perspectives on the (Un)fairness of Artifcial Intelligence. Minds and Machines, 35(2), Article 22. https://doi.org/10.1007/s11023-025-09722-3 -
Starke, C., Ventura, A., Bersch, C., Cha, M., de Vreese, C., Doebler, P., Dong, M., Krämer, N., Leib, M., Peter, J., Schäfer, L., Soraperra, I., Szczuka, J., Tuchtfeld, E., Wald, R., & Köbis, N. (2024). Risks and protective measures for synthetic relationships. Nature Human Behaviour, 8(10), 1834–1836. https://doi.org/10.1038/s41562-024-02005-4
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Forjan, J., Köbis, N., & Starke, C. (2024). 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 (pp. 229–249). Edward Elgar Publishing. https://doi.org/10.4337/9781802202106.00020
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