Responses to heat waves: what can Twitter data tell us?
K.K. Zander, J. Rieskamp, M. Mirbabaie, M. Alazab, D. Nguyen, Natural Hazards (2023).
LibreCat: /record/36834
DOI: 10.1007/s11069-023-05824-2

Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research
J. Rieskamp, L. Hofeditz, M. Mirbabaie, S. Stieglitz, in: Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.
LibreCat: /record/33490

Breaking Down Barriers: How Conversational Agents Facilitate Open Science and Data Sharing
M. Mirbabaie, J. Rieskamp, L. Hofeditz, S. Stieglitz, in: 2023.
LibreCat: /record/48232

From Virality to Veracity: Examining False Information on Telegram vs. Twitter
J. Rieskamp, M. Mirbabaie, M. Langer, A. Kocur, in: 2023.
LibreCat: /record/48468

Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning
J. Rieskamp, Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning, 2022.
LibreCat: /record/34025

‘Just a Normal Day in the Metaverse’ – Distraction Conflicts of Knowledge Work in Virtual Environments
J. Marx, J. Rieskamp, M. Mirbabaie, in: Proceedings of the 33rd Australasian Conference on Information Systems, 2022.
LibreCat: /record/33519

Generating Contrastive Snippets for Argument Search
M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31.
LibreCat: /record/32247
DOI: http://dx.doi.org/10.3233/FAIA220138