aceThe Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
Large language models can influence users through conversation, creating new forms of dark patterns that differ from traditional UX dark patterns. We define LLM dark patterns as manipulative or deceptive behaviors enacted in dialogue. Drawing on prior work and AI incident reports, we outline a diverse set of categories with real-world examples. Using them, we conducted a scenario-based study where participants (N=34) compared manipulative and neutral LLM responses. Our results reveal that recognition of LLM dark…
Large language models can influence users through dialogue that enacts manipulative or deceptive behaviors, including exaggerated agreement, biased framing, and privacy intrusions.
Evidence
- Peer-reviewedProceedings of the 2026 CHI Conference on Human Factors in Computing Systems2026-04-13
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Truvace Impact Record TRV-2026-0154, v1: “The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models.” Truvace, 2026-07-13. /record/TRV-2026-0154 (accessed at citation time). sha256 10d4439c3958ce89…
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