If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 69 references that are in the map. First posted on arXiv 2 Dec 2024.
Builds on
16 of 69 references.
References · 16
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- 2023Towards Designing a ChatGPT Conversational Companion for Elderly Peoplecited by 13
4 more
- 2024Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviewscited by 5
- 2022Many Ways to Be Lonely: Fine-Grained Characterization of Loneliness and Its Potential Changes in COVID-19cited by 4
- 2023Social Robots As Companions for Lonely Hearts: The Role of Anthropomorphism and Robot Appearancecited by 2
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Citing papers per year: 2026: 1.
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