| Challenge: | a new dataset of health-related posts from online social platforms is available for analysis . medical self-disclosure may be useful for early detection and treatment of medical issues . |
| Approach: | They propose to analyze medical self-disclosure in online health conversations . they release a dataset of health-related posts from online social platforms with high inter-annotator agreement . |
| Outcome: | The proposed model achieves an accuracy of 81.02% and sets a strong performance benchmark. |
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| Challenge: | Recognizing medical self-disclosure is important in many healthcare contexts, but it has been under-explored by the NLP community. |
| Approach: | They analyze a social media-based task to expand existing medical self-disclosure corpus and compare Transformer-based models to determine their merits. |
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Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts (2024.findings-naacl)
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Chenghao Yang, Tuhin Chakrabarty, Karli Hochstatter, Melissa Slavin, Nabila El-Bassel, Smaranda Muresan
| Challenge: | Experimental results show that identifying the phases of opioid use disorder is highly contextual and challenging. |
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A Semantics-based Approach to Disclosure Classification in User-Generated Online Content (2020.findings-emnlp)
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| Challenge: | Existing algorithms for self-disclosure identification and classification are challenging due to the relative anonymity of social networking sites and lack of non-verbal cues to signal thoughts or feelings. |
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Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms (2026.findings-eacl)
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| Challenge: | Recent work has explored the use of personal information in the form of persona sentences to improve modeling of individual characteristics and prediction of annotator labels for subjective tasks. |
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Stigma Annotation Scheme and Stigmatized Language Detection in Health-Care Discussions on Social Media (2020.lrec-1)
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| Challenge: | a large amount of research has been done on the interpretation and influence of stigma on human behaviour and health. |
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| Challenge: | Disclosure is a social media activity that can be rewarding but also poses privacy risks. |
| Approach: | They propose to detect and abstract online self-disclosures using a large corpus of 4.8K annotated disclosure spans and a language model to fine-tune for detection. |
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Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit (2024.findings-acl)
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| Challenge: | Our study aims to develop a multi-level, multi-label classification model to analyze online user-generated texts about substance use experiences. |
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Characterization of Stigmatizing Language in Medical Records (2023.acl-short)
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Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze
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MentSum: A Resource for Exploring Summarization of Mental Health Online Posts (2022.lrec-1)
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| Challenge: | Mental health remains a significant challenge of public health worldwide . many use online platforms to share their mental health conditions and seek help . |
| Approach: | They analyze a dataset of over 24k user posts from Reddit and 43 mental health subreddits to generate a short summarization. |
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Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System (L18-1)
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| Challenge: | a study conducted by the pew Internet & American Life Project 1 shows that almost 80 percent of Internet users have explored health-related topic online. |
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