Publikationen
Im Verlauf des Projektes entstehen sowohl wissenschaftliche als auch praxisnahe Publikationen.
Im Verlauf des Projektes entstehen sowohl wissenschaftliche als auch praxisnahe Publikationen.
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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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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Niemann, M. (2021). Elicitation of Requirements for an AI-Enhanced Comment Moderation Support System for Non-tech Media Companies. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds.), HCI International 2021 — Posters (pp. 573–581). Communications in Computer and Information Science: Vol. 1419. Springer, Cham.
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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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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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Jorgensen, M., Choi, M., Niemann, M., Brunk, J., & Becker, J. (2020). Multi-Class Detection of Abusive Language Using Automated Machine Learning. In Proceedings of the 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, Germany.
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Niemann, M., Riehle, D. M., Brunk, J., & Becker, J. (2020). What is Abusive Language? — Integrating Different Views on Abusive Language for Machine Learning. In Grimme, C., Preuss, M., Takes, F., & Waldherr, A. (Eds.), Disinformation in Open Online Media — MISDOOM 2019 (pp. 59–73). Lecture Notes in Computer Science: Vol. 12021. Springer.
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Niemann, M. (2019). Abusiveness is Non-Binary: Five Shades of Gray in German Online News-Comments. In Proceedings of the 21st IEEE Conference on Business Informatics (CBI2019), Moscow, Russia, 11–20.
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Brunk, J., Niemann, M., & Riehle, D. M. (2019). Can Analytics as a Service Save the Online Discussion Culture? — The Case of Comment Moderation in the Media Industry. In Proceedings of the Conference on Business Informatics (CBI2019), Moscow, Russia, 472–481.
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Brunk, J., Mattern, J., & Riehle, D. M. (2019). Effect of Transparency and Trust on Acceptance of Automatic Online Comment Moderation Systems. In Proceedings of the Conference on Business Informatics (CBI2019), Moscow, Russia, 429–435.
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Niemann, M., Riehle, D. M., Brunk, J., & Becker, J. (2019). What is Abusive Language? — Integrating Different Views on Abusive Language for Machine Learning. Poster session presented at the Multidisciplinary International Symposium on Disinformation in Open Online Media, Hamburg, Germany.
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Köffer, S., Riehle, D. M., Höhenberger, S., & Becker, J. (2018). Discussing the Value of Automatic Hate Speech Detection in Online Debates. In Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI 2018), Leuphana, Germany, 83–94.
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