The Role of Generative AI in Undermining Electoral Integrity: A Study on AI-Driven Election Interference
Year: 2025
Type: article
Abstract: The rapid advancement of generative artificial intelligence(AI)technologies presents a transformative yet perilous frontier in the domain of electoral integrity. As tools like deepfakes and large language models(LLMs), including ChatGPT, become increasingly accessible, they offer new avenues for information manipulation, narrative distortion, and psychological influence at unprecedented scale and sophistication. This paper investigates the multifaceted impact of generative AI on democratic processes, focusing on three core dimensions:the erosion of voter trust through deepfake-driven disinformation campaigns; the weaponization of LLMs to manufacture and amplify persuasive electoral narratives; and the pressing need for international governance mechanisms to regulate and mitigate AI-fueled election interference.Drawing from recent electoral events, cross-national case studies, and emerging empirical research, the study reveals how deepfakes are reshaping public perception by blurring the line between reality and fabrication. Simultaneously,it explores how LLMs are being deployed to automate propaganda, target voter subgroups with hyper-personalized messaging, and exploit linguistic and cognitive biases.
Source: Global Political Review
Authors: Ali Imran, Muhammad Irfan Ali, Abdur Rehman
Institution: University of Central Punjab
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409668949