Can (A)I Change Your Mind?
Miriam Havin, Timna Wharton Kleinman, Moran Koren, Yaniv Dover, Ariel Goldstein

TL;DR
This study demonstrates that large language models can effectively persuade individuals in real-world, unconstrained settings, influencing opinions and increasing confidence across diverse interaction modes and topics.
Contribution
It provides empirical evidence of LLMs' persuasive power in naturalistic, multilingual environments, extending beyond controlled English-language experiments.
Findings
Participants adopted LLM and human perspectives similarly
Significant opinion changes occurred across all conditions
Confidence levels increased significantly in most scenarios
Abstract
The increasing integration of large language models (LLMs) based conversational agents into everyday life raises critical cognitive and social questions about their potential to influence human opinions. Although previous studies have shown that LLM-based agents can generate persuasive content, these typically involve controlled English-language settings. Addressing this, our preregistered study explored LLMs' persuasive capabilities in more ecological, unconstrained scenarios, examining both static (written paragraphs) and dynamic (conversations via Telegram) interaction types. Conducted entirely in Hebrew with 200 participants, the study assessed the persuasive effects of both LLM and human interlocutors on controversial civil policy topics. Results indicated that participants adopted LLM and human perspectives similarly, with significant opinion changes evident across all conditions,…
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Taxonomy
TopicsAI in Service Interactions · Misinformation and Its Impacts · Social Robot Interaction and HRI
