Marijn ten Thij (M.C.) | Maastricht University

Khan, A., ten Thij, M., & Wilbik, A. (2025). Vertical federated learning: a structured literature review. Knowledge and Information Systems, Article e1452. https://doi.org/10.1007/s10115-025-02356-y

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Okholm, C. S., Fard, A. E., & ten Thij, M. (2024). Blocking the information war? Testing the effectiveness of the EU's censorship of Russian state propaganda among the fringe communities of Western Europe. Internet Policy Review, 13(3), Article 1788. https://doi.org/10.14763/2024.3.1788

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Rutter, L. A., ten Thij, M., Lorenzo-Luaces, L., Valdez, D., & Bollen, J. (2024). Negative affect variability differs between anxiety and depression on social media. PLOS ONE, 19(2), 0272107. Article e0272107. https://doi.org/10.1371/journal.pone.0272107

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Santos Okholm, J. C., Ebrahimi Fard, A., & Ten Thij, M. (2024). Debunking and exposing misinformation among fringe communities: Testing source exposure and debunking anti-Ukrainian misinformation among German fringe communities. Harvard Kennedy School Misinformation Review, 5(1). https://doi.org/10.37016/mr-2020-134

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Prochnow, A., Bendler, J., Lange, C., Tzavellos, F., Göritzer, B., Ten Thij, M., & Batista-Navarro, R. (2024). IDEM: The IDioms with EMotions Dataset for Emotion Recognition. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 8569-8579). European Language Resources Association (ELRA). https://aclanthology.org/2024.lrec-main.752/

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Khan, A., Thij, M. T., Thuijsman, F., & Wilbik, A. (2024). Using the Nucleolus for Incentive Allocation in Vertical Federated Learning. In F. M. Awaysheh, S. Alawadi, L. Carnevale, J. Lloret Mauri, & M. Alsmirat (Eds.), 2024 2nd International Conference on Federated Learning Technologies and Applications, FLTA 2024 (pp. 224-231). IEEE. https://doi.org/10.1109/FLTA63145.2024.10839765

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Barron, A. T. J., ten Thij, M., & Bollen, J. (2023). Online identity as a collective labeling process. Journal of Physics: Complexity, 4(2), Article 025003. https://doi.org/10.1088/2632-072X/acc62c

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Isch, C., Ten Thij, M., Todd, P. M., & Bollen, J. (2023). Quantifying changes in societal optimism from online sentiment. Behavior Research Methods, 55(1), 176-184. https://doi.org/10.3758/s13428-021-01785-1

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Santing, L., Jean-Luc Sijstermans, R., Anerdi, G., Jeuris, P., ten Thij, M., & Batista-Navarro, R. (2022). Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions? In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) (pp. 100-110). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.flp-1.14

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Khan, A., Thij, M. T., & Wilbik, A. (2022). Vertical Federated Learning: A Structured Literature Review. (pp. 2212.00622v1).

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