mlsanityData to 14 Oct 2026

RedditESS: A Mental Health Social Support Interaction Dataset -- Understanding Effective Social Support to Refine AI-Driven Support Tools

arXiv 2503.21888 ↗First posted 27 Mar 2025cs.CL cs.AIcited by 3

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Abstract (arXiv)

Effective mental health support is crucial for alleviating psychological distress. While large language model (LLM)-based assistants have shown promise in mental health interventions, existing research often defines "effective" support primarily in terms of empathetic acknowledgments, overlooking other essential dimensions such as informational guidance, community validation, and tangible coping strategies. To address this limitation and better understand what constitutes effective support, we introduce RedditESS, a novel real-world dataset derived from Reddit posts, including supportive comments and original posters' follow-up responses. Grounded in established social science theories, we develop an ensemble labeling mechanism to annotate supportive comments as effective or not and perform qualitative assessments to ensure the reliability of the annotations. Additionally, we demonstrate the practical utility of RedditESS by using it to guide LLM alignment toward generating more context-sensitive and genuinely helpful supportive responses. By broadening the understanding of effective support, our study paves the way for advanced AI-driven mental health interventions.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 25 of its 75 references that are in the map. First posted on arXiv 27 Mar 2025.

Builds on

25 of 75 references.

References · 25

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  2. 2021Towards Emotional Support Dialog Systemscited by 299
  3. 2020A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Supportcited by 182
  4. 2023Large Language Models Understand and Can be Enhanced by Emotional Stimulicited by 146
  5. 2023SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversationscited by 110
  6. 2023Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Surveycited by 92
  7. 2022TweetNLP: Cutting-Edge Natural Language Processing for Social Mediacited by 71
  8. 2023Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmarkcited by 63
  9. 2023Building Emotional Support Chatbots in the Era of LLMscited by 62
  10. 2023Multilingual Language Models are not Multicultural: A Case Study in Emotioncited by 54
  11. 2024The opportunities and risks of large language models in mental healthcited by 54
  12. 2023MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journalingcited by 50
13 more
  1. 2023Benefits and Harms of Large Language Models in Digital Mental Healthcited by 40
  2. 2024Large Language Models Produce Responses Perceived to be Empathiccited by 36
  3. 2024Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responsescited by 22
  4. 2024Are Large Language Models More Empathetic than Humans?cited by 18
  5. 2023Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Supportcited by 17
  6. 2020Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platformscited by 16
  7. 2024Enhancing Mental Health Support through Human-AI Collaboration: Toward Secure and Empathetic AI-enabled chatbotscited by 5
  8. 2025Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysiscited by 5
  9. 2023Self-training Strategies for Sentiment Analysis: An Empirical Studycited by 2
  10. 2023Online posting effects: Unveiling the non-linear journeys of users in depression communities on Redditcited by 2
  11. 2024Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapycited by 2
  12. 2024Enhancing Financial Sentiment Analysis with Expert-Designed Hintcited by 1
  13. 2024Leveraging Sentiment for Offensive Text Classificationcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
  2. 2026LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
  3. 2025An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
  4. 2025Envisioning an AI-Enhanced Mental Health Ecosystem
  5. 2023Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
  6. 2023MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
  7. 2024MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
  8. 2025Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling