The persuasive effects of political microtargeting in the age of generative artificial intelligence
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Abstract
The increasing availability of microtargeted advertising and the accessibility of generative artificial intelligence (AI) tools, such as ChatGPT, have raised concerns about the potential misuse of large language models in scaling microtargeting efforts for political purposes. Recent technological advancements, involving generative AI and personality inference from consumed text, can potentially create a highly scalable "manipulation machine" that targets individuals based on their unique vulnerabilities without requiring human input. This paper presents four studies examining the effectiveness of this putative "manipulation machine." The results demonstrate that personalized political ads tailored to individuals' personalities are more effective than nonpersonalized ads (studies 1a and 1b). Additionally, we showcase the feasibility of automatically generating and validating these personalized ads on a large scale (studies 2a and 2b). These findings highlight the potential risks of utilizing AI and microtargeting to craft political messages that resonate with individuals based on their personality traits. This should be an area of concern to ethicists and policy makers.
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While some people simply ignore online misinformation, this content is likely to penetrate specific groups, especially since AI may help automate the micro-targeting process in which thousands of persuasive messages can now be generated easily at scale.
“While some people simply ignore online misinformation (31), this content is likely to penetrate specific groups, especially since AI may help automate the micro-targeting process in which thousands of persuasive messages can now be generated easily at scale (24).”
From The impact of generative artificial intelligence on socioeconomic inequalities and policy making (2024) · cites this paper as [24]
GPT can automate micro-targeting in a way that makes it more persuasive than standard nonpersonalized ads.
“GPT can also automate micro-targeting in a way that makes it more persuasive than standard nonpersonalized ads (24).”
From The impact of generative artificial intelligence on socioeconomic inequalities and policy making (2024) · cites this paper as [24]
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Cites
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The impact of generative artificial intelligence on socioeconomic inequalities and policy making
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Testing theories of political persuasion using AI
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- Authors
- Simchon, A., Edwards, M., & Lewandowsky, S.
- Affiliations
- Ben-Gurion University of the Negev (IL)
- University of Bristol (GB)
- University of Potsdam (DE)
- Corresponding author
- Simchon, Almog
- Venue
- PNAS Nexus
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-01-29
- Volume
- 3
- Issue
- 2
- Pages
- pgae035-pgae035
- ISSN
- 2752-6542 (ISSN-L)
- PMC
- PMC10849795
- OpenAlex
- W4391322710
- Cited by
- 143
- References
- 17
- Citations by year
- 2026: 50 · 2025: 59 · 2024: 30 · 2023: 3 · 2021: 1
- FWCI
- 116.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PNAS Nexus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (publishedVersion, cc-by)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by)
- Explore Bristol Research (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- Funders
- Humboldt Foundation in Germany
- ERC (101020961)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- political microtargeting, generative AI, large language models, ChatGPT, persuasion, personality inference, political communication, AI ethics
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