• 2022

    Research article (book contribution)

    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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    Research article in proceedings (conference)

    Justen, L., Müller, K., Niemann, M., & Becker, J. (2022). No Time like the Present: Effects of Language Change on Automated Comment Moderation. In Poels, G., da, S. M. M., de Kinderen, S., Sales, T. P., & Gordijn, J. (Eds.), Proceedings of the Conference on Business Informatics 2022 (pp. 40–50). Online: Wiley-IEEE Computer Society Press.
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    Koelmann, H., Müller, K., Niemann, M., & Riehle, D. M. (2022). Moderating the Good, the Bad, and the Hateful: Moderators' Attitudes towards ML-based Comment Moderation Support Systems. In Spezzano, F., Amaral, A., Ceolin, D., Fazio, L., & Serra, E. (Eds.), Disinformation in Open Online Media — 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11–12, 2022, Proceedings (pp. 100–113). Lecture Notes in Computer Science: Vol. 13545. Cham: Springer Nature.
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    Thesis (doctoral or post-doctoral)

    Niemann, M. (2022). Design and Development of an Analytics as a Service Platform for Abusive Comment Moderation. at the Westfälische Wilhemls-Universität Münster. Münster: Selbstverlag — Eigenverlag — Self-publishing .
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    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

    Research article in proceedings (conference)

    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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    Halsbenning, S., Koddebusch, M., Niemann, M., & Becker, J. (2021). How to Foster e-Competence in the Public Sector? A Mixed-Method Study Using the Case of BPM. In Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects at the International Conference EGOV-CeDEM-ePart 2021, Granada, Spain, 141–151.
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    Halsbenning, S., & Niemann, M. (2021). Sustainable MOOC Platforms — Searching for Business Models of the Future. In Proceedings of the 29th European Conference on Information Systems (ECIS 2021), Marrakech, Morocco.
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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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    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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    Research article (journal)

    Halsbenning, S., Niemann, M., & Becker, J. (2021). Rettung der Verwaltungsdigitalisierung mittels Bildungsplattform?. Wirtschaftsinformatik & Management, 13(3), 174–183.
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    Forschungsartikel in Online-Sammlung (Konferenz)

    Halsbenning, S., Niemann, M., Distel, B., & Becker, J. (2021). Playing (Government) Seriously: Design Principles for E-Government Simulation Game Platforms.
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  • 2020

    Research article in proceedings (conference)

    Becker, J., Brunk, J., Ding, W., & Niemann, M. (2020). Conceptualization of an Integrated Procedure Model for Business Process Monitoring and Prediction. In Proceedings of the Conference on Business Informatics 2020, Antwerp, Belgium.
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    Becker, J., Niemann, M., & Halsbenning, S. (2020). (Playing) Government beyond Pen and Paper: Conceptualization, Implementation, and Outlook. In Proceedings of the 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, Deutschland.
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    Berendes, C. I., zur Heiden, P., Niemann, M., Hoffmeister, B., & Becker, J. (2020). Usage of Local Online Platforms in Retail: Insights from retailers' expectations. In Proceedings of the 28th European Conference on Information System, Marrakech, Morocco.
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    Halsbenning, S., Scholta, H., & Niemann, M. (2020). The Data Doesn't Lie—An Approach for Form Usability Evaluation Based on Data Quality. In Proceedings of the 28th European Conference on Information Systems (ECIS 2020), Marrakech, Morocco.
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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., 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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    Research article (journal)

    Barann, B., Betzing, J. H., Niemann, M., Hoffmeister, B., & Becker, J. (2020). Exploring Customers' Likeliness to Use E-Service Touchpoints in Brick and Mortar Retail. Electronic Markets, In Print, 1–23.
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  • 2019

    Book (monograph)

    Becker, J., Niemann, M., & Halsbenning, S. (2019). Contribution to growth. European Public Procurement. Delivering economic benefits for citizens and businesses. Brüssel, Belgien: unbekannt — n.a. — unknown.
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    Research article (book contribution)

    Becker, J., Betzing, J. H., von Hoffen, M., & Niemann, M. (2019). A Tale of Two Cities: How High Streets Can Prevail in the Digital Age. In Riemer, K., Schellhammer, S., & Meinert, M. (Eds.), Collaboration in the Digital Age — How Technology Enables Individuals, Teams and Businesses (pp. 291–307). Berlin, Heidelberg: Springer.
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    Halsbenning, S., Niemann, M., Räckers, M., & Scholta, H. (2019). Prozesse und Prozessmanagement in der öffentlichen Verwaltung. In Stember, J., Eixelsberger, W., Neuroni, A., Spichiger, A., Habbel, F.-R., & Wundara, M. (Eds.), Handbuch E-Government: Technikinduzierte Verwaltungsentwicklung (pp. 245–265). Wiesbaden: Springer Gabler.
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    Research article in proceedings (conference)

    Betzing, J. H., Bartelheimer, C., Niemann, M., Berendes, C. I., & Beverungen, D. (2019). Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail. In Proceedings of the 27th European Conference on Information Systems, Stockholm-Uppsala, Schweden.
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    Betzing, J. H., Niemann, M., Barann, B., Hoffmeister, B., & Becker, J. (2019). Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey. In Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Siegen, Deutschland, 557–571.
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    Betzing, J. H., Niemann, M., & Berendes, C. I. (2019). Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype. In Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Siegen, Deutschland, 1967–1971.
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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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    Halsbenning, S., & Niemann, M. (2019). The European Procurement Dilemma—First Steps to Introduce Data-Driven Policy-Making in Public Procurement. In Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moscow, Russia, 303–311.
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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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    Scholta, H., Niemann, M., Halsbenning, S., Räckers, M., & Becker, J. (2019). Fast and Federal—Policies for Next-Generation Federalism in Germany. In Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019), Wailea, Hawaii, 3273–3282.
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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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    Research article (journal)

    Scholta, H., Niemann, M., Delfmann, P., Räckers, M., & Becker, J. (2019). Semi-automatic inductive construction of reference process models that represent best practices in public administrations: A method. Information Systems, 84(September 2019), 63–87.
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  • 2018

    Research article (journal)

    Siqueira, D. D. B., Niemann, M., Hellingrath, B., & Buarque, D. L. N. F. (2018). Survey on Computational Trust and Reputation Models. ACM Computing Surveys, 51(5), 1–40.
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  • 2017

    Research article in proceedings (conference)

    de Siqueira Braga, D., Niemann, M., Hellingrath, B., & Buarque, d. L. N. F. (2017). Combining Behavioral Experiments and Agent-based Social Simulation to Support Trust-aware Decision-making in Supply Chains. In van den, H. J., Paula, R. A., & Filipe, J. (Eds.), Proceedings of the 9th International Conference on Agents and Artificial Intelligence — (Volume 1). Porto, Portugal: Scitepress.
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    de Siqueira Braga, D., Niemann, M., Hellingrath, B., & de Lima, N. F. B. (2017). The Game of Trust: Using Behavioral Experiment as a Tool to Assess and Collect Trust-Related Data. In Steghöfer, J.-P. &. E. B. (Ed.), Trust Management XI (pp. 41–48). Gothenburg, Sweden: Springer, Cham.
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    Niemann, M., Elischberger, F., Diedam, P., Hopkins, J., Thapa, R., de Siqueira Braga, D., Hellingrath, B., Lins, A., Raffaele, R. C., & de L., N. F. B. (2017). A Novel Serious Game for Trust-Related Data Collection in Supply Chains. In Alcañiz, M., Göbel, S., Ma, M., Fradinho, O. M., Baalsrud, H. J., & Marsh, T. (Eds.), Serious Games Lecture Notes in Computer Science: Vol. 10622. Cham: Springer International Publishing.
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