Jonas Rieskamp

About the Person

Jonas Rieskamp has been a research assistant at the Chair of Information Systems, in particular AI Engineering in Companies at the Otto-Friedrich-University Bamberg since March 2022.

He completed his Bachelor's degree in Business Informatics at the South Westphalia University of Applied Sciences in 2018. At the same time, he completed his training as an IT specialist for application development and as a software technology consultant. During his master's degree in business informatics at the University of Paderborn, he focused on the development and application of machine learning models in the field of computational linguistics. In his master's thesis, he developed two algorithms for generating context-dependent summaries of texts (cf. Alshomary, Rieskamp, & Wachsmuth 2022).

In his role as a project team member in the "PREVENT" project, Mr. Rieskamp develops measures to counteract digital disinformation campaigns. In addition to artificial intelligence methods, he also uses simulation methods such as agent-based modeling.

Research Interests

Jonas Rieskamp's research interests lie in the area of polarization on social media. He uses social media analytics and artificial intelligence to investigate social phenomena.

Teaching

In teaching, Ms. Jonas Rieskamp supports both the Master's course "Research Project Digital Society and AI-based Systems ". He also supports the Bachelor's courses "AI Engineering in Companies" and "Digital Innovations in Companies". Mr. Rieskamp also supervises theses. Here he offers topic suggestions, but also supervises topic requests from students.

Accepted for Publication

Rieskamp, J., Küster, A., Kalyoncuoglu, B., Saffer, P. F., & Mirbabaie, M. (2025). Revisiting the Responsibility Gap in Human–AI Collaboration from an Affective Agency Perspective. Proceedings of the 20th International Conference on Wirtschaftsinformatik, Münster, Germany.

Rieskamp, J., Budnik Y., Mirbabaie, M. (2025). Why AI Deployment Fails in Organisations: A Socio-Technical Perspective on the Root Causes. Proceedings of the 36th Australasian Conference of Information Systems, Moreton Bay, Australia.

Publikationen

Marx, J., Mirbabaie, M., & Rieskamp, J. (2025). Working from the Metaverse: A Distraction Management Perspective. Journal of Management Information Systems, 42(1), 206–237. https://doi.org/10.1080/07421222.2025.2452018

Lekscha, J., Rieskamp, J., & Mirbabaie, M. (2024). Analysing the Reach of Debunking Posts on Twitter. ACIS 2024 Proceedings. Australasian Conference on Information Systems (ACIS) 2024, Canberra, Australien.

Mirbabaie, M., Rieskamp, J., Hofeditz, L., & Stieglitz, S. (2024). Breaking Down Barriers: How Conversational Agents Facilitate Open Science and Data Sharing. Proceedings of the 57th Annual Hawaii International Conference on System Sciences, 672–681. https://doi.org/10.24251/HICSS.2024.080

Rieskamp, J., Mirbabaie, M., Langer, M., & Kocur, A. (2024). From Virality to Veracity: Examining False Information on Telegram vs. Twitter. Proceedings of the 57th Hawaii International Conference on System Sciences, 2516–2525.

Schewina, K., Pawelec, M., Sievi, L., Rieskamp, J., Duda, M., & Hochstrate, E. (2024). Ma?nahmen zur Bek?mpfung digitaler Desinformation: Interdisziplin?re Perspektiven für Sicherheitsbeh?rden. SIAK-Journal, 4, 15–29. https://doi.org/10.7396/2024_4_B

Rieskamp, J., Hofeditz, L., Mirbabaie, M., & Stieglitz, S. (2023). Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring: Using a Systematic Literature Review to Guide Future Research. Proceedings of the 56th Hawaii International Conference on System Sciences, 216–225. https://doi.org/10.24251/HICSS.2023.026

Rieskamp, J., Mirbabaie, M., Hofeditz, L., & Vischedyk, J. (2023). Conversational Agents and their Influence on the Well-being of Clinicians. ACIS 2023 Proceedings, 1–15.

Rieskamp, J., Mirbabaie, M., & Zander, K. (2023). GenAI-powered Social Bots for Crisis Communication: a Systematic Literature Review. ACIS 2023 Proceedings, 1–19.

Stieglitz, S., Fromm, J., Kocur, A., Rostalski, F., Duda, M., Evans, A., Rieskamp, J., Sievi, L., Pawelec, M., Heesen, J., Loh, W., Fuch?, C., & Eyilmez, K. (2023). What Measures Can Government Institutions in Germany Take Against Digital Disinformation?: A Systematic Literature Review and Ethical-Legal Discussion. Wirtschaftsinformatik 2023 Proceedings. Wirtschaftsinformatik 2023 - W23, Paderborn.

Zander, K. K., Rieskamp, J., Mirbabaie, M., Alazab, M., & Nguyen, D. (2023). Responses to heat waves: what can Twitter data tell us?. Natural Hazards, 116(3), 3547–3564. https://doi.org/10.1007/s11069-023-05824-2

Alshomary, M., Rieskamp, J., & Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument (pp. 21–31). IOS Press. https://doi.org/10.3233/faia220138

Marx, J., Rieskamp, J., & Mirbabaie, M. (2022). ‘Just a Normal Day in the Metaverse’: Distraction Conflicts of Knowledge Work in Virtual Environments. ACIS 2022 Proceedings, 1–8.