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Results: 16
Number of items: 16
  • 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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • 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
  • Open Access
    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
  • 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
  • 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). Edward Elgar Publishing. https://doi.org/10.4337/9781800374263.social.media.political
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