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Tweeting Environmental Pollution: Analyzing Twitter Language to Uncover its Correlation with County-Level Obesity Rates in the United States

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Detection of Depression on Social Media X With FastText Feature Expansion Using Hybrid Deep Learning CNN-GRU

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Dumping the Closet Skeletons Online: Exploring the Guilty Information Disclosure Behavior on Social Media

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Therapy Recommendation Based on Level of Depression Using Social Media Data

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Identifying Depression in Tweets Using CNN-deep and BILSTM with Attention Model.

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Sentiment Analysis to Detect Depression in Social Media Users: Overview and Proposed Methodology

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Motivation, Self Disclosure dan Psychological Well Being pada Perempuan Dewasa Muda Ibu Kota Melalui Media Sosial Instagram

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Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue SystemPreprint

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Estimating Anxiety based on individual level engagements on YouTube & Google Search Engine.Preprint

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Assessing Viewer's Mental Health by Detecting Depression in YouTube VideosPreprint

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Determining Health Utilities through Data Mining of Social MediaPreprint

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Online social networks and inflammatory bowel disease

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Tracking and quantifying negative content on social media

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Assessing Antidepressants Using Intelligent Data Checking and Mining of Online Fora

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k-TVT: a flexible and effective method for early depression detection

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Media Sosial dan Impak kepada Perkembangan Bahasa Menurut Islam

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An Adaptive and Efficient Method for Detecting First Signs of Depression with Information from the Social Web

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Using Data Analysis and Machine Learning for Studying and Predicting Depression in Users on Social Media

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Evaluating Usages of Social Media and Educational Teaching Methods in Consonance with the Teachings of Islam

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Analysing Meso and Macro conversation structures in an online suicide support forumPreprint

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Senior healthcare managers' perspectives on using social media patient feedback to improve care

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Hindcasting Violent Events in Colombia Using Internet Data

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Uncovering of Depression Through User Profiling

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An approach to the sequential evaluation of emotional behaviors of depressive users on social networks in groups and individually

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Discovery of Mental Wellness via Social Analytics for Liveability in an Urban City

Tan, K. W. (2021) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case49439.2021.9551606

Designing for Serious Mental Illnesses: Enabling Early Detection and Supporting Financial Wellbeing in Bipolar Disorder

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Investigating Depression Semantics on Reddit

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Οι κοινωνικές αναπαραστάσεις των επιβαρυντικών παραγόντων συνθηκών ζωής και η διασύνδεσή τους με το ψυχολογικό προφίλ τους και την πρωτοβάθμια φροντίδα υγείας

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Monte Carlo Tree Search for Interpreting Stress in Natural Language

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AI-based Mental Health Diagnosis and Prognosis of Youth during COVID-19

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Prediction of Mental Health (Depression) Using Data Science Technique

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A temporal analysis of depression related tweets - a case study in Finland

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Forecasting Mental Disorders Through Aspect Identification from Social Media Posts

Mandal, S., & Saha, B. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-2538-2_13

From Bag-of-Words to Transformers: A Deep Dive into the Participation in the eRisk Early Risk Detection of Depression Tasks with Classical and New Approaches

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Using text analytics on social media posts to identify cues or features of depressive behavior

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Twitter Veri Kümesi ile Depresyon için Duyarlılık Analizi Özellik Çıkarma

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Social Media as Communication–Transformation Tools

Siricharoen, W. V. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-7447-2_1

Analysing Shifts in Perceptions of Indians during COVID-19 Pandemic by Mining Tweets

Saxena, R., & Jadeja, M. (2023) · International Conference on Intelligent Communication and Computational Techniques (ICCT) · doi:10.1109/icct56969.2023.10075775

Identification of a Depressive State Among Users of the Vkontakte Social Network

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Towards Building an Explainable System for Detecting Mental Illness with Evidence Support: Development and Usability Study (Preprint)Preprint

Kim, M., Kang, M., Lee, D., Choi, H., Choi, D., Ko, M., & Han, J. (2023) · doi:10.2196/preprints.48614

Model design to look for patterns related to suicide in social networks

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Representing Hierarchical Structured Data Using Cone Embedding

Takehara, D., & Kobayashi, K. (2023) · Mathematics · doi:10.3390/math11102294

Twitter Sentiment Analysis on Russia Ukraine War

Chaudhari, V., Dumka, A., Rastogi, N., Ashok, A., & Pant, B. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-9888-1_49

Datasets Creation for Depression Risk Prediction in Educational Environment during Pandemic

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Automatic classification of depressive users on Twitter including temporal analysis

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Detecting and Characterizing Mental Health Using Social Media Analytics

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Automatic analysis of X (Twitter) data for supporting depression diagnosis

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PERCEIVING MENTAL AILMENTS IN SOCIAL MEDIA THROUGH EMOTIONAL PATTERNS THE CASE OF ANOREXIA

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Mental Health Disorder Predication Using Machine Learning for Online Social Media

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Designing an Electroencephalograph to Predict Suicidal Behavior

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Uncovering anorexia and depression symptoms in social media using fine-grained emotional representations

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Overview of the state of mental health in the COVID-19 recovery and beyond

Kopel, R., & Fox, C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18529-8.00005-6

Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis

Kabir, M., Kader, F. B., Nujat, N. H., Sogir, T. B., Shams, F. A., Mahmud, H., & Hasan, K. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70239-6_6

Machine Learning Approaches for Forecasting Individual Mental Wellbeing: A Comprehensive Study on Depression, Anxiety, Stress, and Loneliness

Vidya, K. S., Sindhura, M., Poojitha, K., Vennela, K. S., Kumar, C. R., & Pagadala, P. K. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-8031-0_53

Disclosure of Anxiety Concerns on Social Media: Do Concerns Vary by Age and Forum? (Preprint)Preprint

Andy, A., Tonge, N., Michaels, P.-E., Ortiz, J. M. H., Kalejaiye, O., Fawole, O., Adhikari, B., Adeyemi, M., Smith, D., Doku, R., et al. (2024) · doi:10.2196/preprints.68023

Sentiment Analysis of #Meanspo Tweets: Humans vs. Automatic Classifications

Nova, F. F., Shinde, A. S., Pfafman, R., Harrison, A., Delaney, C. L., & Pater, J. A. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3701207

Analysing Language for Preventing Women from Gender Violence: NLP and Machine Learning Techniques to Classify Tweet Messages

Deriu, F., & Nave, E. L. (2025) · Springer eBooks · doi:10.1007/978-3-031-64346-0_40

The Role of Emotionality in the Self-reported and Actual Use of Facebook

Mottola, F., Gnisci, A., Perugini, M., & Sergi, I. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-0994-9_35

Few-Shots Learning Model for Depression Detection Using Actigraphy

Alghamdi, S. (2025) · IEEE International Conference on Computer and Communication Engineering Technology (CCET) · doi:10.1109/ccet66260.2025.11199646

Harnessing The Power of Social Media Analytics

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Attention-Based Deep Learning Approach for Sentiment Analysis in the Low-Resource Assamese Language

Chutia, T., Saikia, H. J., Deori, S., & Baruah, N. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-2875-2_18

Hyperparameter-Tuned Neural Networks for Binary Text Classification in Mental Health Detection

Maheshwari, R., Pradhan, R., & Sharma, D. K. (2025) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat66372.2025.11368583

A Systematic Review of Computational Approaches for Depression Detection from Social Media in Low-Resource Linguistic Contexts

Tiwari, S. S., Deepak, A., Pandey, R., & Tripathi, S. (2025) · International Conference on IoT, Communication and Automation Technology (ICICAT) · doi:10.1109/icicat68430.2025.11414733

XGBoost PSO for Mental Health Prediction Using Social Media Analytics

Akshaya, K., Arulanantham, G., & Suryarajan, S. (2026) · International Conference on Communication, Computing and Electronics Systems (ICCCES) · doi:10.1109/iccces62661.2026.11436343

Detecting depression: employing word-embeddings and sentence transformers

Gupta, M., Balki, M., Patki, S. M., & Valadi, J. K. (2026) · Journal of Computational Social Science · doi:10.1007/s42001-026-00467-2

Facing Data Scarcity in Dialogues for Discourse Structure Discovery and Prediction

Li, C. (2023) · theses.fr (ABES) · doi:10.70675/c379d1f5z5324z4865z9c13z84c9508836f1

Autοmated depressiοn level estimatiοn : a study οn discοurse structure, input representatiοn and clinical reliability

Agarwal, N. (2024) · theses.fr (ABES) · doi:10.70675/0ec38ff1zb190z4c8azb4c8z5dd424926b1d

Estimatiοn οf depressiοn level frοm text : symptοm-based apprοach, external knοwledge, dataset validity

Milintsevich, K. (2024) · theses.fr (ABES) · doi:10.70675/b486d74cz4a3az42fezb96cz4b01aa529c8b

MindFeed: Leveraging Social Media for AI-assisted Reflective Journaling

Yu, B., Nguyen, L., Lu, T., & Allouch, S. B. (2025) · International Conference on Human-Engaged Computing (ICHEC) · doi:10.1145/3786995.3787053

Mapping mental health and suicide-related discourse on TikTok: An AI-based social media listening study

Martí-Ochoa, J., Freire, A., & Djourova, N. P. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122134

Temporal-semantics: an era-aware Context-Gated framework for suicide risk detection on social media

Sneha, Sisodia, S., Bansal, T., Bansal, S., & Malik, K. (2026) · Network Modeling Analysis in Health Informatics and Bioinformatics · doi:10.1007/s13721-026-00799-z

Identifying Depressive Content in Decentralized Social Networks: A Case Study on Bluesky

Chaves, A. M., Lemos, G., Ferreira, G. R., Braga, L. P., Meira, W., & Pappa, G. L. (2026) · doi:10.5753/sbcas.2026.21678

Taking Mental Health Technology Kits from Concept to Practice: Considering a Community Approach

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Social media-based machine learning method for predicting symptoms in people with post-traumatic stress disorder with cancer

Sharmin, S., Ali, M. S., Jahan, N., Pathan, M. R. K., Rahman, A., Farid, F. A., Karim, H. B. A., & Miah, A. S. M. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01728-9

Detecting Narcissistic Personality Disorder Traits on Forums: Proof-of-Concept Study

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Finetuned BERT Model for Hybridization of Psychological Problem Detection and Sentiment Analysis

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Identifying Depressive Disorder in the Twitter Population

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Ensemble Neural Models for Depressive Tendency Prediction Based on Social Media Activity of Twitter Users

Saini, G., Yadav, N., & Kamath, S. S. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-9089-1_18 · Cited by 4

Predicting Depression via Social Media

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