[2603.27413] The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK

[2603.27413] The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.27413: The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK

Computer Science > Computers and Society arXiv:2603.27413 (cs) [Submitted on 28 Mar 2026] Title:The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK Authors:Andreas Jungherr, Adrian Rauchfleisch View a PDF of the paper titled The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK, by Andreas Jungherr and Adrian Rauchfleisch View PDF HTML (experimental) Abstract:As AI-enabled systems become available for political campaign outreach, an important question has received little empirical attention: how do people evaluate the communicative practices these systems represent, and what consequences do those evaluations carry? Most research on AI-enabled persuasion examines attitude change under enforced exposure, leaving aside whether people regard AI-mediated outreach as legitimate or not. We address this gap with a preregistered 2x2 experiment conducted in the United States and United Kingdom (N = 1,800 per country) varying outreach intent (informational vs.~persuasive) and type of interaction partner (human vs.~AI-mediated) in the context of political issues that respondents consider highly important. We find consistent evidence for two evaluation penalties. A persuasion penalty emerges across nearly all outcomes in both countries: explicitly persuasive outreach is evaluated as less acceptable, more threatening to personal autonomy, less beneficial, and more damaging to organizational trust tha...

Originally published on March 31, 2026. Curated by AI News.

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