MentSum: A Resource for Exploring Summarization of Mental Health Online Posts
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Abstract (arXiv)
Mental health remains a significant challenge of public health worldwide. With increasing popularity of online platforms, many use the platforms to share their mental health conditions, express their feelings, and seek help from the community and counselors. Some of these platforms, such as Reachout, are dedicated forums where the users register to seek help. Others such as Reddit provide subreddits where the users publicly but anonymously post their mental health distress. Although posts are of varying length, it is beneficial to provide a short, but informative summary for fast processing by the counselors. To facilitate research in summarization of mental health online posts, we introduce Mental Health Summarization dataset, MentSum, containing over 24k carefully selected user posts from Reddit, along with their short user-written summary (called TLDR) in English from 43 mental health subreddits. This domain-specific dataset could be of interest not only for generating short summaries on Reddit, but also for generating summaries of posts on the dedicated mental health forums such as Reachout. We further evaluate both extractive and abstractive state-of-the-art summarization baselines in terms of Rouge scores, and finally conduct an in-depth human evaluation study of both user-written and system-generated summaries, highlighting challenges in this research.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 24 of its 64 references that are in the map. First posted on arXiv 2 Jun 2022.
Builds on
24 of 64 references.
References · 24
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12 more
- 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditionscited by 73
- 2015Better Summarization Evaluation with Word Embeddings for ROUGEcited by 66
- 2019Ontology-Aware Clinical Abstractive Summarizationcited by 33
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Citing papers per year: 2023: 2; 2024: 7; 2025: 2.
11 papers.
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
- 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulatorcited by 99
- 2024A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directionscited by 34
- 2024PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluationcited by 26
- 2024Large Language Model Benchmarks in Medical Taskscited by 16
- 2024Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social mediacited by 7
- 2024Understanding Position Bias Effects on Fairness in Social Multi-Document Summarizationcited by 4
- 2023Curriculum-guided Abstractive Summarization for Mental Health Online Postscited by 3
- 2024Domain-specific Guided Summarization for Mental Health Postscited by 2
- 2025CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysiscited by 1
- 2025MHINDR -- a DSM5 based mental health diagnosis and recommendation framework using LLMcited by 0
- 2025CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis13 Oct 2025
- 2025MHINDR -- a DSM5 based mental health diagnosis and recommendation framework using LLM30 Sep 2025
- 2024Domain-specific Guided Summarization for Mental Health Posts3 Nov 2024
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation8 Jul 2024
- 2024A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions6 Jun 2024
- 2024Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization3 May 2024
- 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator15 Feb 2024
- 2024Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media29 Jan 2024
- 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challenge9 Nov 2023
- 2023Curriculum-guided Abstractive Summarization for Mental Health Online Posts2 Feb 2023