If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
December 02, 2024 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
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Authors
Adrian de Wynter
arXiv ID
2412.01617
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.CY,
cs.HC
Citations
1
Venue
Annual Meeting of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
Warning: this paper discusses content related, but not limited to, violence, sex, and suicide. Loneliness, or the lack of fulfilling relationships, significantly impacts a person's mental and physical well-being and is prevalent worldwide. Previous research suggests that large language models (LLMs) may help mitigate loneliness. However, we argue that the use of widespread LLMs in services like ChatGPT is more prevalent--and riskier, as they are not designed for this purpose. To explore this, we analysed user interactions with ChatGPT outside of its marketed use as a task-oriented assistant. In dialogues classified as lonely, users frequently (37%) sought advice or validation, and received good engagement. However, ChatGPT failed in sensitive scenarios, like responding appropriately to suicidal ideation or trauma. We also observed a 35% higher incidence of toxic content, with women being 22x more likely to be targeted than men. Our findings underscore ethical and legal questions about this technology, and note risks like radicalisation or further isolation. We conclude with recommendations to research and industry to address loneliness.
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