mlsanityData to 14 Oct 2026

What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma

arXiv 2505.12727 ↗First posted 19 May 2025cs.CL cs.CY cs.HCcited by 6

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Abstract (arXiv)

Mental-health stigma remains a pervasive social problem that hampers treatment-seeking and recovery. Existing resources for training neural models to finely classify such stigma are limited, relying primarily on social-media or synthetic data without theoretical underpinnings. To remedy this gap, we present an expert-annotated, theory-informed corpus of human-chatbot interviews, comprising 4,141 snippets from 684 participants with documented socio-cultural backgrounds. Our experiments benchmark state-of-the-art neural models and empirically unpack the challenges of stigma detection. This dataset can facilitate research on computationally detecting, neutralizing, and counteracting mental-health stigma. Our corpus is openly available at https://github.com/HanMeng2004/Mental-Health-Stigma-Interview-Corpus.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 33 of its 118 references that are in the map. First posted on arXiv 19 May 2025.

Builds on

33 of 118 references.

References · 33

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2024The Llama 3 Herd of Modelscited by 14,715
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,598
  5. 2021Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivitycited by 1,135
  6. 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 956
  7. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 736
  8. 2022ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detectioncited by 422
  9. 2021Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detectioncited by 264
  10. 2020Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detectioncited by 221
  11. 2021Latent Hatred: A Benchmark for Understanding Implicit Hate Speechcited by 217
  12. 2020HateCheck: Functional Tests for Hate Speech Detection Modelscited by 216
21 more
  1. 2021MultiVerS: Improving scientific claim verification with weak supervision and full-document contextcited by 143
  2. 2021On Releasing Annotator-Level Labels and Information in Datasetscited by 126
  3. 2022POTATO: The Portable Text Annotation Toolcited by 64
  4. 2023Building Emotional Support Chatbots in the Era of LLMscited by 62
  5. 2021Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contextscited by 56
  6. 2023Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Informationcited by 52
  7. 2023Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarkscited by 46
  8. 2023Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysiscited by 45
  9. 2024The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labelscited by 38
  10. 2022CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Postscited by 34
  11. 2024Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targetscited by 31
  12. 2022Gendered Mental Health Stigma in Masked Language Modelscited by 18
  13. 2021Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistantscited by 16
  14. 2024The Call for Socially Aware Language Technologiescited by 13
  15. 2021Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debuggingcited by 12
  16. 2022ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trollscited by 7
  17. 2023LLM generated responses to mitigate the impact of hate speechcited by 7
  18. 2024How Did We Get Here? Summarizing Conversation Dynamicscited by 6
  19. 2024The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasetscited by 6
  20. 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphscited by 4
  21. 2019Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorizationcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 6.

6 papers.

  1. 2026Language Shapes Mental Health Evaluations in Large Language Modelscited by 2
  2. 2026Designing Computational Tools for Exploring Causal Relationships in Qualitative Datacited by 0
  3. 2026SSR: Can Simulated Patients Learn to Stigmatize Themselves? Modeling Self-Stigma through Internal Monologuecited by 0
  4. 2026SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialoguecited by 0
  5. 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Healthcited by 0
  6. 2026Automatic Evaluation of Mental Health Stigma in Online Communicationcited by 0