mlsanityData to 14 Oct 2026

Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

arXiv 1911.00133 ↗First posted 31 Oct 2019cs.CLcited by 81

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Abstract (arXiv)

Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, making its identification useful across a range of domains. However, existing computational research typically only studies stress in domains such as speech, or in short genres such as Twitter. We present Dreaddit, a new text corpus of lengthy multi-domain social media data for the identification of stress. Our dataset consists of 190K posts from five different categories of Reddit communities; we additionally label 3.5K total segments taken from 3K posts using Amazon Mechanical Turk. We present preliminary supervised learning methods for identifying stress, both neural and traditional, and analyze the complexity and diversity of the data and characteristics of each category.

Key facts. Cited by 81 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Oct 2019.

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Citing papers per year: 2021: 5; 2022: 5; 2023: 15; 2024: 21; 2025: 20; 2026: 15.

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  1. 2021MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcarecited by 161
  2. 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 124
  3. 2021On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmarkcited by 73
  4. 2023Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Datacited by 66
  5. 2023MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Modelscited by 63
  6. 2023Goal Driven Discovery of Distributional Differences via Language Descriptionscited by 62
  7. 2023Evaluation of ChatGPT for NLP-based Mental Health Applicationscited by 53
  8. 2023Towards Interpretable Mental Health Analysis with Large Language Modelscited by 53
  9. 2022CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Postscited by 34
  10. 2024Large Language Models in Mental Health Care: a Scoping Reviewcited by 34
  11. 2024AI for social science and social science of AI: A Surveycited by 29
  12. 2023Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Healthcited by 25
38 more
  1. 2024MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversationscited by 21
  2. 2025CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answeringcited by 21
  3. 2025The Rise of Small Language Models in Healthcare: A Comprehensive Surveycited by 18
  4. 2024Large Language Model Benchmarks in Medical Taskscited by 17
  5. 2023ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?cited by 15
  6. 2023Emotion fusion for mental illness detection from social media: A surveycited by 13
  7. 2023Calibration of Transformer-based Models for Identifying Stress and Depression in Social Mediacited by 12
  8. 2024Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosiscited by 12
  9. 2025Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmarkcited by 12
  10. 2024MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Mediacited by 9
  11. 2021Reddit Entity Linking Datasetcited by 7
  12. 2021Data Augmentation for Mental Health Classification on Social Mediacited by 7
  13. 2022Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Modelcited by 7
  14. 2024A Comprehensive Evaluation of Large Language Models on Mental Illnessescited by 7
  15. 2024Explainable AI for Mental Disorder Detection via Social Media: A survey and outlookcited by 6
  16. 2024Clinical Insights: A Comprehensive Review of Language Models in Medicinecited by 6
  17. 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agentscited by 6
  18. 2025Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understandingcited by 6
  19. 2024mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysiscited by 5
  20. 2025Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Textcited by 5
  21. 2025FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Healthcited by 5
  22. 2022A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigmscited by 4
  23. 2023WellXplain: Wellness Concept Extraction and Classification in Reddit Posts for Mental Health Analysiscited by 4
  24. 2024Computational Analysis of Stress, Depression and Engagement in Mental Health: A Surveycited by 4
  25. 2024MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcarecited by 4
  26. 2023ForDigitStress: A multi-modal stress dataset employing a digital job interview scenariocited by 3
  27. 2023Multitask learning for recognizing stress and depression in social mediacited by 3
  28. 2024Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Modelscited by 3
  29. 2025A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Contextcited by 3
  30. 2025DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessmentcited by 3
  31. 2025MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimationcited by 3
  32. 2025Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectivescited by 3
  33. 2025Menta: A Small Language Model for On-Device Mental Health Predictioncited by 3
  34. 2021Quantifying the Suicidal Tendency on Social Media: A Surveycited by 2
  35. 2024Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detectioncited by 2
  36. 2025Leveraging LLMs for Mental Health: Detection and Recommendations from Social Discussionscited by 2
  37. 2026MHDash: An Online Platform for Benchmarking Mental Health-Aware AI Assistantscited by 2
  38. 2026TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Healthcited by 2

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