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 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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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 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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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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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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Jorgensen, M., Choi, M., Niemann, M., Brunk, J., & Becker, J. (2020). Multi-Class Detection of Abusive Language Using Automated Machine Learning.
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Niemann, M. (2019). Abusiveness is Non-Binary: Five Shades of Gray in German Online News-Comments.
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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.
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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.
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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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