Former Research Assistant
Chair of Information Systems and Information Management
Leonardo Campus 3
48149
Münster
External profiles:
Leonardo Campus 3
48149
Münster
Justen, L., Müller, K., Niemann, M., & Becker, J. (2022). No Time like the Present: Effects of Language Change on Automated Comment Moderation. In Poels, G., da, S. M. M., de Kinderen, S., Sales, T. P., & Gordijn, J. (Eds.), Proceedings of the Conference on Business Informatics 2022 (pp. 40–50). Online: Wiley-IEEE Computer Society Press.
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Koelmann, H., Müller, K., Niemann, M., & Riehle, D. M. (2022). Moderating the Good, the Bad, and the Hateful: Moderators' Attitudes towards ML-based Comment Moderation Support Systems. In Spezzano, F., Amaral, A., Ceolin, D., Fazio, L., & Serra, E. (Eds.), Disinformation in Open Online Media — 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11–12, 2022, Proceedings (pp. 100–113). Lecture Notes in Computer Science: Vol. 13545. Cham: Springer Nature.
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Müller, K. (2022). Elicitation of Requirements for a NLP-Model Store for Abusive Language Detection. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds.), HCI International 2022 Posters (pp. 581–588). Online: Springer.
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Wolters, A., Müller, K., & Riehle, D. M. (2022). Incremental Machine Learning for Text Classification in Comment Moderation Systems. In Spezzano, F., Amaral, A., Ceolin, D., Fazio, L., & Serra, E. (Eds.), Disinformation in Open Online Media — 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11–12, 2022, Proceedings (pp. 138–153). Lecture Notes in Computer Science: Vol. 13545. Cham: Springer Nature.
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Müller, K., Koelmann, H., Niemann, M., Plattfaut, R., & Becker, J. (2022). Exploring Audience’s Attitudes Towards Machine Learning-based Automation in Comment Moderation.
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Becker, J., Holznagel, B., & Müller, K. (2021). Interoperability of Messenger Services. — Possibilities for a Consumer-Friendly Approach. In Bayer, J., Holznagel, B., Korpisaari, P., & Woods, L. (Eds.), Perspectives on Platform Regulation: Concepts and Models of Social Media Governance — Across the Globe (pp. 119–143). Recht und Digitalisierung — Digitization and the Law: Vol. 1. Baden-BadenDO — 10.5771/9783748929789ET — 1LA — en: Nomos Verlagsgesellschaft mbH & Co. KG.
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Assenmacher, D., Niemann, M., Müller, K., Seiler, M. V., Riehle, D. M., & Trautmann, H. (2021). RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), Virtual Event, 1–14.
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Niemann, M., Müller, K., Kelm, C., Assenmacher, D., & Becker, J. (2021). The German Comment Landscape: A Structured Overview of the Opportunities for Participatory Discourse on News Websites. In Proceedings of the 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media, Oxford, United Kingdom.
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Becker, J., Müller, K., Cordes, A.-K., Hartmann, P., & von Lojewski, L. (2020). Development of a Conceptual Framework for Machine Learning Applications in Brick-and-Mortar Stores. In Proceedings of the 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam.
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Clever, L., Assenmacher, D., Müller, K., Seiler, M. V., Riehle, D. M., Preuss, M., & Grimme, C. (2020). FakeYou! — A Gamified Approach for Building and Evaluating Resilience Against Fake News. In Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media, Leiden, Netherlands.
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