AI-Driven campaigning and the transformation of trust in electoral politics
Author(s): Naved Akhtar Khan and Rajkamal Patel
Abstract: Electoral campaigns in democracies are undergoing a fundamental shift from traditional public campaigning to AI-enabled private persuasion
[1]. This paper examines how artificial intelligence tools including chatbots, generative media, and microtargeted advertising are deployed in recent campaigns across the United States and Europe, analyzing implications for voter trust, democratic legitimacy, and political accountability
[2]. Drawing on comparative case analysis of campaigns in the U.S. (including diaspora-targeted outreach in New York City), Germany, France, and the UK from 2023 to 2025, we demonstrate that AI-driven personalized messaging challenges communication transparency while enabling innovative voter engagement
[3]. We argue that AI offers potential for enhanced voter outreach, particularly to marginalized and diaspora communities, while simultaneously eroding trust through hidden messaging, synthetic media, and public discourse fragmentation
[4]. The paper concludes with evidence-based policy recommendations for campaign transparency, deepfake detection, and updated electoral regulations, and identifies future research directions at the intersection of artificial intelligence and democratic integrity
[5].
DOI: 10.33545/26646021.2026.v8.i1a.827Pages: 14-23 | Views: 68 | Downloads: 11Download Full Article: Click Here
How to cite this article:
Naved Akhtar Khan, Rajkamal Patel.
AI-Driven campaigning and the transformation of trust in electoral politics. Int J Political Sci Governance 2026;8(1):14-23. DOI:
10.33545/26646021.2026.v8.i1a.827