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 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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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 Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media, Leiden, Netherlands.
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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 Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media, Leiden, Netherlands, 122–137.
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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 Proceedings of the HCI International 2020, Copenhagen, Denmark.
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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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