mlsanityData to 7 Oct 2026

CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis

arXiv 2510.11233 ↗First posted 13 Oct 2025cs.CLcited by 1

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Abstract (arXiv)

Depression is a pressing global public health issue, yet publicly available Chinese-language resources for depression risk detection remain scarce and largely focus on binary classification. To address this limitation, we release CNSocialDepress, a benchmark dataset for depression risk detection on Chinese social media. The dataset contains 44,178 posts from 233 users; psychological experts annotated 10,306 depression-related segments. CNSocialDepress provides binary risk labels along with structured, multidimensional psychological attributes, enabling interpretable and fine-grained analyses of depressive signals. Experimental results demonstrate the dataset's utility across a range of NLP tasks, including structured psychological profiling and fine-tuning large language models for depression detection. Comprehensive evaluations highlight the dataset's effectiveness and practical value for depression risk identification and psychological analysis, thereby providing insights for mental health applications tailored to Chinese-speaking populations.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 40 of its 150 references that are in the map. First posted on arXiv 13 Oct 2025.

Builds on

40 of 150 references.

References · 40

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  5. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  6. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  7. 2023Qwen Technical Reportcited by 3,273
  8. 2013Visualizing and Understanding Convolutional Networkscited by 2,278
  9. 2024LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Modelscited by 1,442
  10. 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
  11. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  12. 2014Deep Learning in Neural Networks: An Overviewcited by 765
28 more
  1. 2013Generating Sequences With Recurrent Neural Networkscited by 549
  2. 2016FastText.zip: Compressing text classification modelscited by 331
  3. 2020Revisiting Pre-Trained Models for Chinese Natural Language Processingcited by 262
  4. 2021MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcarecited by 159
  5. 2014Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognitioncited by 111
  6. 2019StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understandingcited by 108
  7. 2015A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classificationcited by 92
  8. 2017Depression and Self-Harm Risk Assessment in Online Forumscited by 81
  9. 2022Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Modelcited by 37
  10. 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequencescited by 36
  11. 2020On the State of Social Media Data for Mental Health Researchcited by 32
  12. 2023CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Promptingcited by 28
  13. 2024PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluationcited by 26
  14. 2022Symptom Identification for Interpretable Detection of Multiple Mental Disorderscited by 20
  15. 2024CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMscited by 17
  16. 2022Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GANcited by 16
  17. 2025CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Modelcited by 13
  18. 2022MentSum: A Resource for Exploring Summarization of Mental Health Online Postscited by 11
  19. 2024Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysiscited by 11
  20. 2025Bayesian Optimization for Controlled Image Editing via LLMscited by 11
  21. 2021TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Postscited by 10
  22. 2023Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimationcited by 8
  23. 2025Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animationcited by 8
  24. 2021Detecting Depression in Thai Blog Posts: a Dataset and a Baselinecited by 6
  25. 2025Datasets for Depression Modeling in Social Media: An Overviewcited by 5
  26. 2024You Only Speak Once to Seecited by 4
  27. 2025Learning to Learn Weight Generation via Local Consistency Diffusioncited by 4
  28. 2025AU-Blendshape for Fine-grained Stylized 3D Facial Expression Manipulationcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detectioncited by 0