Abstract
The rapid development of artificial intelligence is having a significant impact on and transforming the way organisations operate on social media – particularly in terms of the significant technological, social and reputational risks it poses. This applies to the creation of content shared on social media, its moderation, and its consequences – namely, user behaviour. Current research on the use of AI in social media focuses on phenomena such as disinformation, deepfakes and algorithmic content personalisation. Despite the growing use of AI in digital communication, however, the issue of systemic risk management remains insufficiently researched. This exploratory article identifies key risk categories and proposes a conceptual model for managing these risks – the AISMRF (AI Social Media Risk Management Framework) – which can support Information Systems Development.
Paper Type
Poster
DOI
10.62036/ISD.2026.111
AI risk management in social media: implications for organisations and directions for the information systems development
The rapid development of artificial intelligence is having a significant impact on and transforming the way organisations operate on social media – particularly in terms of the significant technological, social and reputational risks it poses. This applies to the creation of content shared on social media, its moderation, and its consequences – namely, user behaviour. Current research on the use of AI in social media focuses on phenomena such as disinformation, deepfakes and algorithmic content personalisation. Despite the growing use of AI in digital communication, however, the issue of systemic risk management remains insufficiently researched. This exploratory article identifies key risk categories and proposes a conceptual model for managing these risks – the AISMRF (AI Social Media Risk Management Framework) – which can support Information Systems Development.
Recommended Citation
Krupcała, K.(2026). AI risk management in social media: implications for organisations and directions for the information systems development. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.111