Ehemaliger Mitarbeiter
Professur für Statistik und Optimierung (Prof. Trautmann)
Leonardo Campus 3
48149
Münster
Leonardo Campus 3
48149
Münster
Niemann, M., Assenmacher, D., Brunk, J., Riehle, D. M., Becker, J., & Trautmann, H. (2022). (Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse. In Weitzel, G., & Mündges, S. (Eds.), Hate Speech — Definitionen, Ausprägungen, Lösungen (pp. 249–274). Wiesbaden: VS Verlag für Sozialwissenschaften.
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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 Vanschoren, J., & Yeung, S. (Eds.), Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021) (pp. 1–14). online: Selbstverlag — Eigenverlag.
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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 Disinformation, i. O. O. M. T. M. I. S., MISDOOM, 2., Virtual, E., September, 2., 2021, , & Proceedings, (Eds.), Bright, Jonathan; Giachanou, Anastasia; Spaiser, Viktoria; Spezzano, Francesca; George, Anna; Pavliuc, Alexandra (pp. 112–127). Lecture Notes in Computer Science: Vol. 12887. Cham: Springer.
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Assenmacher, D., Weber, D., Preuss, M., Calero, V. A., Bradshaw, A., Ross, B., Cresci, S., Trautmann, H., Neumann, F., & Grimme, C. (2021). Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem. Social Science Computer Review, online first.
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Assenmacher, D., Adam, L., Trautmann, H., & Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. In Proceedings of the Florida Artificial Intelligence Research Society Conference, Florida, USA.
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Assenmacher, D., Clever, L., Pohl, J., Trautmann, H., & Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In Meiselwitz, G. (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis (pp. 201–214). Cham: Springer International Publishing.
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Assenmacher, D., & Adam, L. &. F. L. &. T. H. &. G. C. (2020). Inside the tool set of automation: Free social bot code revisited. In Grimme, C., Preuß, M., Takes, F., & Waldherr, A. (Eds.), Disinformation in open online media (pp. 101–114). Lecture Notes in Computer Science. Wiesbaden: Springer.
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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 van Duijn, , Max;, P., Mike;, S., Viktoria;, T., Frank;, V., & Suzan, (Eds.), Disinformation in Open Online Media. Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings (pp. 218–232). Lecture Notes in Computer Science: Vol. 12259. Cham: Springer.
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Niemann, M., Welsing, J., Riehle, D. M., Brunk, J., Assenmacher, D., & Becker, J. (2020). Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action. In van Duijn, , Max;, P., Mike;, S., Viktoria;, T., Frank;, V., & Suzan, (Eds.), Disinformation in Open Online Media. Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings (pp. 122–137). Lecture Notes in Computer Science: Vol. 12259. Cham: Springer.
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Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H., & Becker, J. (2020). Building an Integrated Comment Moderation System — Towards a Semi-Automatic Moderation tool. In Meiselwitz, G. (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II (pp. 71–86). Lecture Notes in Computer Science: Vol. 12195. Cham: Springer.
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Assenmacher, D., Clever, L., Frischlich, L., Quandt, T., Trautmann, , Heike, , & Grimme, C. (2020). Demystifying social bots: On the intelligence of automated social media actors. Social media — society, 00.
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Valdez, A., Adam, L., Assenmacher, D., Burbach, L., Bonart, M., Frischlich, L., & Schär, P. (2019). Computational Methods in Professional Communication. In Proceedings of the International Professional Communication Conference (ProComm), Aachen, 275–285.
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Grimme, C., Assenmacher, D., & Adam, L. (2018). Changing Perspectives: Is it Sufficient to Detect Social Bots?. In Meiselwitz, G. (Ed.), Social Computing and Social Media. User Experience and Behavior (pp. 445–461). Lecture Notes in Computer Science: Vol. 10913. Cham: Springer International Publishing.
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Carnein, M., Assenmacher, D., & Trautmann, H. (2017). An Empirical Comparison of Stream Clustering Algorithms. In Proceedings of the ACM International Conference on Computing Frontiers (CF '17), Siena, Italy, 361–365.
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Carnein, M., Assenmacher, D., & Trautmann, H. (2017). Stream Clustering of Chat Messages with Applications to Twitch Streams. In de Cesare, S., & Ulrich, F. (Eds.), Proceedings of the 36th International Conference on Conceptual Modeling (ER'17) (pp. 79–88). Springer International Publishing.
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