Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics
This paper provides the first empirical evidence on deepfake prevalence and partisan dynamics during a major democratic election, addressing a gap in understanding real-world impact.
Analyzing 187,778 posts from X, Bluesky, and Reddit during the 2025 Canadian federal election, the study found that 5.86% of election-related images were deepfakes, with right-leaning accounts sharing them more frequently (8.66% vs. 4.42%). However, harmful deepfakes accounted for only 0.12% of all views on X, indicating modest reach.
Concerns about AI-generated political content are growing, yet there is limited empirical evidence on how deepfakes actually appear and circulate across social platforms during major events in democratic countries. In this study, we present one of the first in-depth analyses of how these realistic synthetic media shape the political landscape online, focusing specifically on the 2025 Canadian federal election. By analyzing 187,778 posts from X, Bluesky, and Reddit with a high-accuracy detection framework trained on a diverse set of modern generative models, we find that 5.86% of election-related images were deepfakes. Right-leaning accounts shared them more frequently, with 8.66% of their posted images flagged compared to 4.42% for left-leaning users, often with defamatory or conspiratorial intent. Yet, most detected deepfakes were benign or non-political, and harmful ones drew little attention, accounting for only 0.12% of all views on X. Overall, deepfakes were present in the election conversation, but their reach was modest, and realistic fabricated images, although less common, drew higher engagement, highlighting growing concerns about their potential misuse.