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Bäck, Hanna, Marc Debus and Michael Imre (2024): Incumbency advantages, prime minister replacements and government formation. [ECPR General Conference, Dublin, August 12th to August 15th, 2024] more
Bäck, Hanna, Marc Debus and Michael Imre (2024): Populist Radical Parties, Pariahs, and Coalition Bargaining Delays. Party Politics, 30, issue 1, pp. 96-107. more
Carey, Sabine C., and Jürgen Brandsch (2024): Borders and bullies: How borders shape perceptions of security and foreign policy preferences.. Research and Politics, 11, issue 2. more
Carey, Sabine C., Eline Løvlien and Marie-Therese Meye (2024): How conflict legacy shapes attitudes towards the police. [58th North American Meeting of the Peace Science Society (International), Ann Arbor, September 07th to September 09th, 2024] more
Chan, Chung-hong, Hartmut Wessler, Marc Jungblut, Kasper Welbers, Scott Althaus, Joseph Bajjalieh and Wouter van Atteveldt (2024): Challenging the Global Cultural Conflict Narrative: An Automated Content Analysis on How Perpetrator Identity Shapes Worldwide News Coverage of Islamist and Right-Wing Terror Attacks. International Journal of Press-Politics, 29, issue 4, pp. 1064-1089. more
Chan, Chung-hong, Rainer Freudenthaler and Philipp Müller (2024): Developing a synthetic news corpus to validate generic frame detection methods. SCM Studies in Communication and Media, 13, issue 1, pp. 101-124. more
Classe, Franz, and Christoph Kern (2024): Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning. Applied Psychological Measurement, 48, issue 3, pp. 83-103. more
Classe, Franz, and Christoph Kern (2024): Latent Variable Forests for Latent Variable Score Estimation. Educational and Psychological Measurement, 84, issue 6, pp. 1138-1172. more
Cohausz, Lea, Jakob Kappenberger and Heiner Stuckenschmidt (2024): Combining fairness and causal graphs to advance both. Pp. 1-14 in: Roberta Calegari, Virginia Dignum, Barry O'Sullivan (Eds.) Fairness and Bias in AI : Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024). Aachen: RWTH Aachen. more
Cohausz, Lea, Jakob Kappenberger and Heiner Stuckenschmidt (2024): What fairness metrics can really tell you: A case study in the educational domain. Pp. 792-799 in: LAK'24: Proceedings of the 14th Learning Analytics and Knowledge Conference. Kyoto: Association for Computing Machinery. more

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