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

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

Responses to heat waves: what can Twitter data tell us?
K.K. Zander, J. Rieskamp, M. Mirbabaie, M. Alazab, D. Nguyen, Natural Hazards (2023).

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.

Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning
J. Rieskamp, Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning, 2022.

‘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.

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.