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 Guédria, W., Proper, H. A., Verelst, J., Hacks, S., Timm, F., Sandkuhl, K., Fellmann, M., Serapiao, G., Payan, M., Komarov, M., Maltseva, S., Uskenbayeva, R., Nazarov, D., Ge, M., Helfert, M., & Ehrlinger, L. (Eds.), Proceeding. 2020 IEEE 22nd Conference on Business Informatics (CBI 2020). Antwerp, Belgium 22-24 June 2020. Volume 2 — Research-in-Progress and Workshop Papers (pp. 49–57). Los Alamitos, California: Wiley-IEEE Computer Society Press.
More details BibTeX DOI
@inproceedings{BeckerBDN2020Conceptualization,
author = {Jörg Becker and Jens Brunk and Wenying Ding and Marco Niemann},
title = {Conceptualization of an Integrated Procedure Model for Business Process Monitoring and Prediction},
booktitle = {Proceeding. 2020 IEEE 22$^{nd}$ Conference on Business Informatics (CBI 2020). Antwerp, Belgium 22-24 June 2020. Volume 2 --- Research-in-Progress and Workshop Papers},
pages = {49--57},
editor = {Wided Guédria and Henderik A. Proper and Jan Verelst and Simon Hacks and Felix Timm and Kurt Sandkuhl and Michael Fellmann and Gabriel Serapiao and Mathias Payan and Mikhail Komarov and Svetlana Maltseva and Raissa Uskenbayeva and Dmitry Nazarov and Mouzhi Ge and Markus Helfert and Lisa Ehrlinger},
year = {2020},
publisher = {Wiley-IEEE Computer Society Press},
address = {Los Alamitos, California},
doi = {10.1109/CBI49978.2020.00013},
note = {Publication status: Published}
}
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.
More details BibTeX DOI
@inproceedings{NiemannRBB2020WhatIsAbusive,
author = {Marco Niemann and Dennis M Riehle and Jens Brunk and Jörg Becker},
title = {What is Abusive Language? --- Integrating Different Views on Abusive Language for Machine Learning},
booktitle = {Disinformation in Open Online Media --- MISDOOM 2019},
pages = {59--73},
series = {Lecture Notes in Computer Science},
volume = {12021},
editor = {C Grimme and M Preuss and F Takes and A Waldherr},
year = {2020},
publisher = {Springer},
address = {Hamburg, Germany},
isbn = {978-3-030-39626-8},
doi = {10.1007/978-3-030-39627-5_6},
note = {Publication status: Published}
}
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.
More details BibTeX Full text DOI
@inproceedings{NiemannWRBAB2020AbusiveComments,
author = {Marco Niemann and Jens Welsing and Dennis M Riehle and Jens Brunk and Dennis Assenmacher and Jörg Becker},
title = {Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action},
booktitle = {Disinformation in Open Online Media. Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings},
pages = {122--137},
series = {Lecture Notes in Computer Science},
volume = {12259},
editor = { {van Duijn} and Preuss Max; and Spaiser Mike; and Takes Viktoria; and Verberne Frank; and Suzan},
year = {2020},
publisher = {Springer},
address = {Cham},
isbn = {978-3-030-61841-4},
issn = {0302-9743},
doi = {10.1007/978-3-030-61841-4_9},
url = {https://link.springer.com/chapter/10.1007%2F978-3-030-61841-4_9},
note = {Publication status: Published}
}
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.
More details BibTeX Full text DOI
@inproceedings{RiehleNBATB2020BuildingAn,
author = {Dennis M. Riehle and Marco Niemann and Jens Brunk and Dennis Assenmacher and Heike Trautmann and Jörg Becker},
title = {Building an Integrated Comment Moderation System --- Towards a Semi-Automatic Moderation tool},
booktitle = {Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. 12$^{th}$ International Conference, SCSM 2020, Held as Part of the 22$^{nd}$ HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II},
pages = {71--86},
series = {Lecture Notes in Computer Science},
volume = {12195},
editor = {Gabriele Meiselwitz},
year = {2020},
publisher = {Springer},
address = {Cham},
isbn = {978-3-030-49576-3},
issn = {0302-9743},
doi = {10.1007/978-3-030-49576-3_6},
url = {https://link.springer.com/chapter/10.1007/978-3-030-49576-3_6},
note = {Publication status: Published}
}
Research article in digital collection (conference)
Becker, J., Niemann, M., & Halsbenning, S. (2020). (Playing) Government beyond Pen and Paper: Conceptualization, Implementation, and Outlook.
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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.
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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.
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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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