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33 Publications
2026 | Book Chapter | LibreCat-ID: 65061 | 
K. J. Rohlfing, S. Alpsancar, and C. Schulte, “Responsibilities in sXAI,” in Social Explainable AI, Singapore: Springer Nature Singapore, 2026, pp. 157–177.
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2026 | Book Chapter | LibreCat-ID: 65064 |
S. Alpsancar and M. Klenk, “The Risk of Manipulation and Deception in sXAI,” in Social Explainable AI, Singapore: Springer Nature Singapore, 2026, pp. 583–616.
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2026 | Book (Editor) | LibreCat-ID: 65065 |
K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, and K. Thommes, Eds., Social Explainable AI. Singapore: Springer Nature Singapore, 2026.
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2026 | Conference Paper | LibreCat-ID: 63031
A. L. Menne and C. Schulz, “Social Context in Human-AI Interaction (HAI): Towards a Theoretical Framework Based on Multi-Perspectival Imaginaries,” in HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCI 2026, Montreal, Canada, July 26-31, 2026, Proceedings, Montreal.
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2026 | Journal Article | LibreCat-ID: 64789
F. Beer and C. Schulz, “AI has never been ‘inherently interpretable’: On a paradoxical origin of eXplainable AI (XAI),” RESET Journal (Recherches sciences sociale sur internet) Special Issue: Towards New Social and Historical Studies of Artificial Intelligence.
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2026 | Book Chapter | LibreCat-ID: 55598
C. Schulz, “Feeds. Ein zentrales Strukturprinzip sozialer Medien,” in Handbuch Social Media: Geschichte – Kultur – Ästhetik, 1st ed., R. Dörre and A. Tuschling, Eds. Stuttgart: Metzler Verlag.
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2025 | Journal Article | LibreCat-ID: 54667
C. Schulz, “On ‘Super Likes’ and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms,” Digital Culture & Society , vol. 2/2023, pp. 45–68, 2025, doi: https://doi.org/10.14361/dcs-2023-0204.
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2025 | Conference Paper | LibreCat-ID: 61229
M. Muschalik et al., “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks,” 2025.
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2025 | Conference Paper | LibreCat-ID: 61232
R. Visser, F. Fumagalli, E. Hüllermeier, and B. Hammer, “Explaining Outliers using Isolation Forest and Shapley Interactions,” 2025.
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2025 | Conference Paper | LibreCat-ID: 61231
F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, and J. Herbinger, “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory,” in Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025, vol. 258, pp. 5140–5148.
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2024 | Book Chapter | LibreCat-ID: 51745
C. Schulz, “Vernakulärer Code oder die Geister, die der Algorithmus rief - digitale Schriftlichkeit im Kontext von sozialen Medienplattformen,” in Digitale Schriftlichkeit – Progammieren, Prozessieren und Codieren von Schrift, 1st ed., M. Bartelmus and A. Nebrig, Eds. Bielefeld: transcript , 2024.
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2024 | Book Chapter | LibreCat-ID: 51746
C. Schulz, “Vom foto-sozialen Graph zum Story-Format: Über die Institutionalisierung sozialmedialer Infrastruktur aus dem Geiste der Fotografie,” in Die Fotografie und ihre Institutionen. Von der Lehrsammlung zum Bundesinstitut , 1st ed., A. Schürmann and K. Yacavone, Eds. Berlin : Reimer Verlag, 2024.
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2024 | Conference Paper | LibreCat-ID: 57250
C. Schütze, B. Richter, O. Lammert, K. Thommes, and B. Wrede, “Static Socio-demographic and Individual Factors for Generating Explanations in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?,” in HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction, 2024, pp. 141–149, doi: 10.1145/3687272.3688300.
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2024 | Journal Article | LibreCat-ID: 58708
J. B. Fisher, K. J. Rohlfing, E. Donnellan, A. Grimminger, Y. Gu, and G. Vigliocco, “ Explain with, rather than explain to: How explainees shape their own learning,” Interaction Studies, vol. 25, no. 2, pp. 244–255, 2024, doi: doi.org/10.1075/is.23019.fis.
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2024 | Conference Paper | LibreCat-ID: 58224
P. Kenneweg, T. Kenneweg, F. Fumagalli, and B. Hammer, “No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation,” in 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8, doi: 10.1109/IJCNN60899.2024.10650124.
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2024 | Conference Paper | LibreCat-ID: 53073
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, vol. 38, no. 13, pp. 14388–14396, doi: 10.1609/aaai.v38i13.29352.
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2024 | Conference Paper | LibreCat-ID: 55311
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification,” in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024, vol. 238, pp. 3520–3528.
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2024 | Conference Paper | LibreCat-ID: 58223
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions,” in Proceedings of the 41st International Conference on Machine Learning (ICML), 2024, vol. 235, pp. 14308–14342.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, and E. Huellermeier, “shapiq: Shapley interactions for machine learning,” in Advances in Neural Information Processing Systems (NeurIPS), 2024, vol. 37, pp. 130324–130357.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61230
P. Kolpaczki, V. Bengs, M. Muschalik, and E. Hüllermeier, “Approximating the shapley value without marginal contributions,” in Proceedings of the AAAI conference on Artificial Intelligence (AAAI), 2024, vol. 38, no. 12, pp. 13246–13255.
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