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AI editing of online posts can steer collective opinion, study finds

A new research paper explores how generative AI, particularly large language models, can influence collective opinion formation on online platforms. The study found that LLMs introduce directional biases when editing user-generated content on controversial topics, such as favoring gun control or opposing atheism. Researchers developed a mathematical model demonstrating that these AI-introduced biases can be amplified through social networks, ultimately shifting collective opinion. An audit of X's 'Explain this post' feature revealed a pro-life bias in Grok's outputs on abortion-related content, linked to specific design choices. AI

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IMPACT AI's ability to subtly alter online discourse and collective opinion highlights the need for transparency and control mechanisms on digital platforms.

RANK_REASON Publication of an academic paper detailing AI's influence on collective opinion formation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

COVERAGE [1]

  1. arXiv cs.CL TIER_1 · Sandra Wachter ·

    AI-Mediated Communication Can Steer Collective Opinion

    Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on LinkedIn and provide context for content shared on X. While prior work has shown that AI can expres…