Social Media for Mental Health: Data, Methods, and Findings
Fuente:
arXiv
Saved in:
| Main Authors: | Kamarudin, Nur Shazwani, Beigi, Ghazaleh, Manikonda, Lydia, Liu, Huan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
A Review: PTSD in Pre-Existing Medical Condition on Social Media
by: Ayon, Zaber Al Hassan, et al.
Published: (2025)
by: Ayon, Zaber Al Hassan, et al.
Published: (2025)
Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
Detecting Suicidal Ideation in Text with Interpretable Deep Learning: A CNN-BiGRU with Attention Mechanism
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
Shape-Based Single Object Classification Using Ensemble Method Classifiers
by: Kamarudin, Nur Shazwani, et al.
Published: (2025)
by: Kamarudin, Nur Shazwani, et al.
Published: (2025)
The Day My Chatbot Changed: Characterizing the Mental Health Impacts of Social AI App Updates via Negative User Reviews
by: Munira, Sirajam, et al.
Published: (2026)
by: Munira, Sirajam, et al.
Published: (2026)
Sentiment Analysis On YouTube Comments Using Machine Learning Techniques Based On Video Games Content
by: Amin, Adi Danish Bin Muhammad, et al.
Published: (2025)
by: Amin, Adi Danish Bin Muhammad, et al.
Published: (2025)
Heart Disease Prediction using Case Based Reasoning (CBR)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)
Facial Expression Recognition with YOLOv11 and YOLOv12: A Comparative Study
by: Aymon, Umma, et al.
Published: (2025)
by: Aymon, Umma, et al.
Published: (2025)
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026)
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026)
M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
by: Sathvik, MSVPJ, et al.
Published: (2025)
by: Sathvik, MSVPJ, et al.
Published: (2025)
Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs
by: Chen, Kexin, et al.
Published: (2024)
by: Chen, Kexin, et al.
Published: (2024)
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
by: Zhai, Wei, et al.
Published: (2024)
by: Zhai, Wei, et al.
Published: (2024)
Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)
by: Li, Wenyu, et al.
Published: (2024)
MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data
by: Mankarious, Saad, et al.
Published: (2025)
by: Mankarious, Saad, et al.
Published: (2025)
A Survey on Multilingual Mental Disorders Detection from Social Media Data
by: Bucur, Ana-Maria, et al.
Published: (2025)
by: Bucur, Ana-Maria, et al.
Published: (2025)
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)
by: Yang, Kailai, et al.
Published: (2023)
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
by: Zhai, Wei, et al.
Published: (2024)
by: Zhai, Wei, et al.
Published: (2024)
Early Detection of Mental Health Issues Using Social Media Posts
by: Saeed, Qasim Bin, et al.
Published: (2025)
by: Saeed, Qasim Bin, et al.
Published: (2025)
DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
by: Zhyrko, Maryia, et al.
Published: (2026)
by: Zhyrko, Maryia, et al.
Published: (2026)
Does Prompt Design Impact Quality of Data Imputation by LLMs?
by: Srinivasan, Shreenidhi, et al.
Published: (2025)
by: Srinivasan, Shreenidhi, et al.
Published: (2025)
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
by: Beigi, Alimohammad, et al.
Published: (2024)
by: Beigi, Alimohammad, et al.
Published: (2024)
RedditESS: A Mental Health Social Support Interaction Dataset -- Understanding Effective Social Support to Refine AI-Driven Support Tools
by: Alghamdi, Zeyad, et al.
Published: (2025)
by: Alghamdi, Zeyad, et al.
Published: (2025)
Zero-Shot Stance Detection using Contextual Data Generation with LLMs
by: Mahmoudi, Ghazaleh, et al.
Published: (2024)
by: Mahmoudi, Ghazaleh, et al.
Published: (2024)
Examining the Mental Health Impact of Misinformation on Social Media Using a Hybrid Transformer-Based Approach
by: Arora, Sarvesh, et al.
Published: (2025)
by: Arora, Sarvesh, et al.
Published: (2025)
A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
by: Ajayi, Edward, et al.
Published: (2025)
by: Ajayi, Edward, et al.
Published: (2025)
Mining Mental Health Signals: A Comparative Study of Four Machine Learning Methods for Depression Detection from Social Media Posts in Sorani Kurdish
by: Mohammed, Idrees, et al.
Published: (2025)
by: Mohammed, Idrees, et al.
Published: (2025)
Large Language Models for Data Annotation and Synthesis: A Survey
by: Tan, Zhen, et al.
Published: (2024)
by: Tan, Zhen, et al.
Published: (2024)
Leveraging LLMs for Translating and Classifying Mental Health Data
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
by: Qi, Hongzhi, et al.
Published: (2023)
by: Qi, Hongzhi, et al.
Published: (2023)
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
by: Yuan, Yunhao, et al.
Published: (2025)
by: Yuan, Yunhao, et al.
Published: (2025)
K-SENSE: A Knowledge-Guided Self-Augmented Encoder for Neuro-Semantic Evaluation of Mental Health Conditions on Social Media
by: Yadav, Vijay
Published: (2026)
by: Yadav, Vijay
Published: (2026)
"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
by: Haensch, Anna-Carolina
Published: (2025)
by: Haensch, Anna-Carolina
Published: (2025)
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media
by: Ding, Zhanyi, et al.
Published: (2025)
by: Ding, Zhanyi, et al.
Published: (2025)
P-ReMIS: Pragmatic Reasoning in Mental Health and a Social Implication
by: Oram, Sneha, et al.
Published: (2025)
by: Oram, Sneha, et al.
Published: (2025)
Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?
by: Beigi, Alimohammad, et al.
Published: (2024)
by: Beigi, Alimohammad, et al.
Published: (2024)
Spontaneous Informal Speech Dataset for Punctuation Restoration
by: Liu, Xing Yi, et al.
Published: (2024)
by: Liu, Xing Yi, et al.
Published: (2024)
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
by: Liu, Xing Yi, et al.
Published: (2023)
by: Liu, Xing Yi, et al.
Published: (2023)
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
by: Kumar, Vivek, et al.
Published: (2024)
by: Kumar, Vivek, et al.
Published: (2024)
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
by: Nguyen, Van Minh, et al.
Published: (2023)
by: Nguyen, Van Minh, et al.
Published: (2023)
Similar Items
-
Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025) -
A Review: PTSD in Pre-Existing Medical Condition on Social Media
by: Ayon, Zaber Al Hassan, et al.
Published: (2025) -
Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025) -
Detecting Suicidal Ideation in Text with Interpretable Deep Learning: A CNN-BiGRU with Attention Mechanism
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025) -
Shape-Based Single Object Classification Using Ensemble Method Classifiers
by: Kamarudin, Nur Shazwani, et al.
Published: (2025)