{"total":25,"rows":[{"id":"2202.03047","title":"Data set creation and empirical analysis for detecting signs of depression from social media postings","created":"2022-02-07","cited_by_count":26,"area":null},{"id":"2301.05453","title":"It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers","created":"2023-01-13","cited_by_count":18,"area":null},{"id":"2305.05138","title":"Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media","created":"2023-05-09","cited_by_count":16,"area":null},{"id":"2104.04140","title":"Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS","created":"2021-04-09","cited_by_count":15,"area":null},{"id":"2401.02746","title":"Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues","created":"2024-01-05","cited_by_count":11,"area":null},{"id":"2310.16538","title":"FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning","created":"2023-10-25","cited_by_count":10,"area":null},{"id":"2402.16182","title":"MoodCapture: Depression Detection Using In-the-Wild Smartphone Images","created":"2024-02-25","cited_by_count":8,"area":null},{"id":"2409.14794","title":"Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models","created":"2024-09-23","cited_by_count":4,"area":null},{"id":"2103.15909","title":"Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust","created":"2021-03-29","cited_by_count":2,"area":null},{"id":"2106.01481","title":"Quantifying language changes surrounding mental health on Twitter","created":"2021-06-02","cited_by_count":2,"area":null},{"id":"2110.03663","title":"Quantifying the Suicidal Tendency on Social Media: A Survey","created":"2021-10-04","cited_by_count":2,"area":null},{"id":"2201.10182","title":"Pre-Trained Language Transformers are Universal Image Classifiers","created":"2022-01-25","cited_by_count":1,"area":null},{"id":"2301.10453","title":"Predicting mental health using social media: A roadmap for future development","created":"2023-01-25","cited_by_count":1,"area":null},{"id":"2104.14281","title":"Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy","created":"2021-04-29","cited_by_count":0,"area":null},{"id":"2105.08165","title":"Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic","created":"2021-05-17","cited_by_count":0,"area":null},{"id":"2203.06244","title":"AI agents for facilitating social interactions and wellbeing","created":"2022-02-26","cited_by_count":0,"area":null},{"id":"2203.13770","title":"Analysis of the use of color and its emotional relationship in visual creations based on experiences during the context of the COVID-19 pandemic","created":"2022-03-25","cited_by_count":0,"area":null},{"id":"2507.09565","title":"Holistix: A Dataset for Holistic Wellness Dimensions Analysis in Mental Health Narratives","created":"2025-07-13","cited_by_count":0,"area":null},{"id":"2508.18301","title":"A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2511.07914","title":"Social Media for Mental Health: Data, Methods, and Findings","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2511.15675","title":"MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2603.26727","title":"The Nonverbal Gap: Toward Affective Computer Vision for Safer and More Equitable Online Dating","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.14360","title":"A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.02523","title":"FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2609.05537","title":"VIS-DICT: A Visual Dictionary for Missing Modality Imputation in Social Network Depression Detection","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}