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Nguyen, L., Boersma, M., & Acar, E. (2026). Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations. In R. Guidotti, U. Schmid, & L. Longo (Eds.), Explainable Artificial Intelligence: Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025 : proceedings (Vol. IV, pp. 330–353). (Communications in Computer and Information Science; Vol. 2579). Springer. https://doi.org/10.1007/978-3-032-08330-2_16 -
Morosoli, S., Naudts, L., Cools, H., Venkatraj, K., Helberger, N., & de Vreese, C. (2026). Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens. AI & Society, 41(2), 1467-1479. https://doi.org/10.1007/s00146-025-02591-5 -
Schlamp, S., Gerpott, F. H., Hentschel, T., Gierke, L. A., & Van Quaquebeke, N. (2026). The Challenge of Claiming Leadership for Younger Female Managers: Exploring Differences Between Employees’ Behaviors and Perceptions. Journal of Leadership and Organizational Studies, 33(1), 44-66. https://doi.org/10.1177/15480518251360815 -
van Burgsteden, L., & van Eck, C. W. (2026). Conversational Polarization: Eight Key Considerations for Communication Scientists. Science Communication, 48(2), 280-289. https://doi.org/10.1177/10755470251314726 -
Dietrich, F., Arenz, A., & Reinecke, L. (2026). What Constitutes Experiences of Autonomy in Digital Technology Use? A (Computational) Scoping Review Through the Lens of Self-Determination Theory. Interacting with computers, 38(3), 487–500. https://doi.org/10.1093/iwc/iwae050
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