conference paper

Disinformation Narrative Distribution and Generation Using Generative AI

Ono J.; Ogata T.

Publication year: 2026
Source / journal: proceedings of international conference on artificial life and robotics
Country of origin: Japan
Language: English
Institution type: Academic
Authors’ affiliations: Faculty of Software and Information Technology, Aomori University, 2-3-1, Kohbata, Aomori-shi, Aomori, 030-0943, Japan; Faculty of Informatics, Yamato University, 2-5-1 Katayama-cho, Suita-shi, Osaka, 564-0082, Japan
Academic discipline: Military Influence & Security Doctrine; Cognitive & Behavioral Sciences; Social Psychology & Group Dynamics; Media, Communication & Discourse Studies; Network Science (SNA / ONA); Human–Machine & Algorithmic Mediation
Actors: Media Organisations
Contribution type: Empirical
Import source: Scopus export

Abstract

In recent years, concepts such as cognitive security and cognitive warfare have attracted increasing attention, and the mechanisms by which disinformation distorts the cognition of societies and individuals have been studied actively. Although this issue has become an urgent topic in Japan, research in this field remains in its infancy. This study simulates the distribution (diffusion) process of disinformation in a virtual scenario where a group targets an individual on social media based on real-world data and analyzes the generation of disinformation narratives using generative AI. The results of this study are expected to contribute to the development of systems for detecting and countering "disinformation narratives." © The 2026 International Conference on Artificial Life and Robotics (ICAROB2026).

Author keywords

disinformation narratives; generative ai; labelling; narrative distribution (diffusion); narrative generation

Open source