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Future Elections and AI-Driven Disinformation
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Geneva Centre for Security Policy (GCSP).ORCID iD: 0000-0002-7552-9465
Number of Authors: 12024 (English)In: TDHJ Special Edition, ISSN 2960-5687, p. 48-59Article in journal (Refereed) Published
Abstract [en]

This paper conceptualises how artificial intelligence (AI) reshapes disinformation campaigns by examining the operational shift from predominantly human-led activity to AI-enabled production, targeting, and adaptation. Using a framework that links Human Intelligence Collector Operations (HUMINT) and Offensive Cyberspace Operations (OCO), the analysis focuses on how recent advances affect operational tempo, content generation capacity, and responsiveness to feedback. The findings indicate that AI-enabled campaigns can accelerate the production and tailoring of narratives by processing large datasets at machine speed and adjusting outputs as conditions change. In comparative terms, AI-driven workflows show higher throughput and faster iteration cycles than human-operated approaches, which remain constrained by personnel scale, time, and coordination costs. These characteristics imply that the marginal cost of producing plausible, audience-specific disinformation decreases as models and automation pipelines mature, which in turn can widen exposure for institutions that rely on slower detection and response processes.

Place, publisher, year, edition, pages
2024. p. 48-59
Keywords [en]
Disinformation campaigns, Artificial intelligence, Offensive cyberspace operations, Information influence operations, Automation and scalability
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-251039OAI: oai:DiVA.org:su-251039DiVA, id: diva2:2027213
Available from: 2026-01-12 Created: 2026-01-12 Last updated: 2026-01-14Bibliographically approved

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Huskaj, Gazmend

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