Publikationen

Im Verlauf des Projektes entstehen sowohl wissenschaftliche als auch praxisnahe Publikationen.

2022

 

Forschungsartikel in Online-Sammlung (Konferenz)

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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2021

 

Forschungsartikel in Sammelband (Konferenz)

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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2020

 

Forschungsartikel in Sammelband (Konferenz)

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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2019

 

Forschungsartikel in Sammelband (Konferenz)

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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Abstract in Online-Sammlung (Konferenz)

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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2018

 

Forschungsartikel in Sammelband (Konferenz)

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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