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Social media as a measurement tool of depression in populations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archgenpsychiatry.2009.168openalex-snapshot
Depression Care in the United States
inferredcites →https://doi.org/10.1001/jama.289.23.3095openalex-snapshot
The Epidemiology of Major Depressive Disorder
inferredcites →https://doi.org/10.1007/978-1-4419-1005-9_100268openalex-snapshot
Centers for Disease Control and Prevention
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1037//0022-3514.46.4.877openalex-snapshot
Coping, stress, and social resources among adults with unipolar depression.
inferredcites →https://doi.org/10.1037/0022-3514.61.3.427openalex-snapshot
Gender differences in negative affect and well-being: The case for emotional intensity.
inferredcites →https://doi.org/10.1038/mp.2010.13openalex-snapshot
Social network determinants of depression
inferredcites →https://doi.org/10.1053/smrv.1999.0075openalex-snapshot
Depression and insomnia: questions of cause and effect
inferredcites →https://doi.org/10.1080/02699930441000030openalex-snapshot
Language use of depressed and depression-vulnerable college students
inferredcites →https://doi.org/10.1093/jurban/78.3.458openalex-snapshot
Social Ties and Mental Health
inferredcites →https://doi.org/10.1111/j.1467-8411.2009.01235.xopenalex-snapshot
Gross national happiness
inferredcites →https://doi.org/10.1145/1753326.1753369openalex-snapshot
An unobtrusive behavioral model of "gross national happiness"
inferredcites →https://doi.org/10.1145/2470654.2466447openalex-snapshot
Predicting postpartum changes in emotion and behavior via social media
inferredcites →https://doi.org/10.1176/ajp.146.7.829openalex-snapshot
Seasonality and affective illness
inferredcites →https://doi.org/10.1176/appi.ajp.159.6.909openalex-snapshot
Contact With Mental Health and Primary Care Providers Before Suicide: A Review of the Evidence
inferredcites →https://doi.org/10.1186/2041-1480-2-s5-s9openalex-snapshot
OMG U got flu? Analysis of shared health messages for bio-surveillance
inferredcites →https://doi.org/10.1371/journal.pmed.0030442openalex-snapshot
Projections of Global Mortality and Burden of Disease from 2002 to 2030
inferredcites →https://doi.org/10.1609/icwsm.v5i1.14137openalex-snapshot
You Are What You Tweet: Analyzing Twitter for Public Health
inferredcites →https://doi.org/10.1609/icwsm.v6i1.14235openalex-snapshot
Modeling Spread of Disease from Social Interactions
inferredcites →https://doi.org/10.1609/icwsm.v6i1.14279openalex-snapshot
Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media
What points at this work
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Machine learning of language use on Twitter reveals weak and non-specific predictions
inferred← citeshttps://doi.org/10.1038/s44184-023-00032-zopenalex-snapshot
Assessment of depression and anxiety in young and old with a question-based computational language approach
inferred← citeshttps://doi.org/10.1038/s44184-023-00040-zopenalex-snapshot
A systematic review on automated clinical depression diagnosis
inferred← citeshttps://doi.org/10.1057/978-1-137-52141-5_5openalex-snapshot
Immunizing the Social Network: Public Health and the “Troubled Teenager” in Digital Media
inferred← citeshttps://doi.org/10.1063/5.0104446openalex-snapshot
Using text analytics on social media posts to identify cues or features of depressive behavior
inferred← citeshttps://doi.org/10.1063/5.0215990openalex-snapshot
Uncovering anorexia and depression symptoms in social media using fine-grained emotional representations
inferred← citeshttps://doi.org/10.1073/pnas.2321321121openalex-snapshot
Language sentiment predicts changes in depressive symptoms
inferred← citeshttps://doi.org/10.1080/0144929x.2016.1262898openalex-snapshot
Use of social network sites among depressed adolescents
inferred← citeshttps://doi.org/10.1080/0144929x.2021.1998630openalex-snapshot
Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1080/10410236.2017.1350906openalex-snapshot
What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery
inferred← citeshttps://doi.org/10.1080/10447318.2024.2307695openalex-snapshot
User Preferences on AI Psychotherapy Based on Moderating Effects of Individual Personality Traits: Employing a Clustering Analysis
inferred← citeshttps://doi.org/10.1080/21507740.2021.1918284openalex-snapshot
Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19
inferred← citeshttps://doi.org/10.1089/cyber.2016.0487openalex-snapshot
The Effect of Photoperiod on the Mood of Reddit Users
inferred← citeshttps://doi.org/10.1093/jamia/ocz056openalex-snapshot
Mapping gender transition sentiment patterns via social media data: toward decreasing transgender mental health disparities
inferred← citeshttps://doi.org/10.1093/oxfordhb/9780190460518.013.28openalex-snapshot
Responsible Research on Social Networks
inferred← citeshttps://doi.org/10.1108/978-1-64113-899-420251006openalex-snapshot
Harnessing The Power of Social Media Analytics
inferred← citeshttps://doi.org/10.1108/itp-12-2020-0860openalex-snapshot
Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness
inferred← citeshttps://doi.org/10.1109/access.2021.3095759openalex-snapshot
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/access.2022.3208470openalex-snapshot
Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire
inferred← citeshttps://doi.org/10.1109/access.2025.3530862openalex-snapshot
Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/acomp50827.2020.00016openalex-snapshot
On the Use of Textual and Visual Data from Online Social Networks for Predicting Community Health
inferred← citeshttps://doi.org/10.1109/besc48373.2019.8963550openalex-snapshot
Twitter Analysis for Depression on Social Networks based on Sentiment and Stress
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378092openalex-snapshot
Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention
inferred← citeshttps://doi.org/10.1109/case49439.2021.9551606openalex-snapshot
Discovery of Mental Wellness via Social Analytics for Liveability in an Urban City
inferred← citeshttps://doi.org/10.1109/ccaa.2017.8229824openalex-snapshot
Learning the student's sufferings using Social Networks
inferred← citeshttps://doi.org/10.1109/cccs.2019.8888096openalex-snapshot
Study on Mental Disorder Detection via Social Media Mining
inferred← citeshttps://doi.org/10.1109/ccet66260.2025.11199646openalex-snapshot
Few-Shots Learning Model for Depression Detection Using Actigraphy
inferred← citeshttps://doi.org/10.1109/chase.2016.7openalex-snapshot
Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/ciacon70148.2026.11688351openalex-snapshot
Finetuned BERT Model for Hybridization of Psychological Problem Detection and Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/compsac48688.2020.00-12openalex-snapshot
Understanding Veterans Expression of Anger Using Social Media Analysis
inferred← citeshttps://doi.org/10.1109/csce60160.2023.00036openalex-snapshot
Designing an Electroencephalograph to Predict Suicidal Behavior
inferred← citeshttps://doi.org/10.1109/csci.2017.290openalex-snapshot
Social Participation of Depressed Individuals as an Optimisation Problem
inferred← citeshttps://doi.org/10.1109/dsaa.2014.7058113openalex-snapshot
Analysis of circadian rhythms from online communities of individuals with affective disorders
inferred← citeshttps://doi.org/10.1109/dsaa.2015.7344841openalex-snapshot
Nonparametric discovery of online mental health-related communities
inferred← citeshttps://doi.org/10.1109/embc40787.2023.10340782openalex-snapshot
End-to-end multimodal system for depression detection from online recordings
inferred← citeshttps://doi.org/10.1109/gcat66372.2025.11368583openalex-snapshot
Hyperparameter-Tuned Neural Networks for Binary Text Classification in Mental Health Detection
inferred← citeshttps://doi.org/10.1109/icadeis65852.2025.10933068openalex-snapshot
Detection of Depression on Social Media X With FastText Feature Expansion Using Hybrid Deep Learning CNN-GRU
inferred← citeshttps://doi.org/10.1109/iccces62661.2026.11436343openalex-snapshot
XGBoost PSO for Mental Health Prediction Using Social Media Analytics
inferred← citeshttps://doi.org/10.1109/icccnt49239.2020.9225638openalex-snapshot
Analysis of Post centric suicidal expressions and classification on the Social Media Post: Twitter
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10306720openalex-snapshot
Predicting Stress at Workplace using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icct56969.2023.10075775openalex-snapshot
Analysing Shifts in Perceptions of Indians during COVID-19 Pandemic by Mining Tweets
inferred← citeshttps://doi.org/10.1109/icdew67478.2025.00027openalex-snapshot
A Survey of Large Language Models in Mental Health Disorder Detection on Social Media
inferred← citeshttps://doi.org/10.1109/ichi.2016.98openalex-snapshot
Prevalence and Attitudes about Illicit and Prescription Drugs on Twitter
inferred← citeshttps://doi.org/10.1109/icicat68430.2025.11414733openalex-snapshot
A Systematic Review of Computational Approaches for Depression Detection from Social Media in Low-Resource Linguistic Contexts
inferred← citeshttps://doi.org/10.1109/icics49469.2020.239539openalex-snapshot
EmoDet2: Emotion Detection in English Textual Dialogue using BERT and BiLSTM Models
inferred← citeshttps://doi.org/10.1109/icict.2017.8320184openalex-snapshot
Personality analysis of the USA public using Twitter profile pictures
inferred← citeshttps://doi.org/10.1109/iciot48696.2020.9089576openalex-snapshot
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
inferred← citeshttps://doi.org/10.1109/icme.2016.7552947openalex-snapshot
Discovering latent affective dynamics among individuals in online mental health-related communities
inferred← citeshttps://doi.org/10.1109/icosc.2019.8665525openalex-snapshot
Question Answering for Suicide Risk Assessment Using Reddit
inferred← citeshttps://doi.org/10.1109/icsidempc49020.2020.9299641openalex-snapshot
Detection of Depression in Social Media via Twitter Using Machine learning Approach
inferred← citeshttps://doi.org/10.1109/iicaiet55139.2022.9936811openalex-snapshot
Performance of Content-Based Features to Detect Depression Tendencies in Different Text Lengths
inferred← citeshttps://doi.org/10.1109/incsst64791.2025.11210377openalex-snapshot
Stress Level Estimation among Students via Social Media Patterns Using Hybrid Machine Learning and Neural Architectures
inferred← citeshttps://doi.org/10.1109/jbhi.2016.2539972openalex-snapshot
Assessing Antidepressants Using Intelligent Data Monitoring and Mining of Online Fora
inferred← citeshttps://doi.org/10.1109/jbhi.2016.2586519openalex-snapshot
Analyzing and Identifying Teens’ Stressful Periods and Stressor Events From a Microblog
inferred← citeshttps://doi.org/10.1109/jiot.2022.3161046openalex-snapshot
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
inferred← citeshttps://doi.org/10.1109/mdm48529.2020.00073openalex-snapshot
Detecting Social Anxiety with Online Social Network Data
inferred← citeshttps://doi.org/10.1109/rivf.2016.7800270openalex-snapshot
Effect of social capital on emotion, language style and latent topics in online depression community
inferred← citeshttps://doi.org/10.1109/smartindustrycon57312.2023.10110824openalex-snapshot
Identification of a Depressive State Among Users of the Vkontakte Social Network
inferred← citeshttps://doi.org/10.1109/taffc.2021.3075638openalex-snapshot
Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression
inferred← citeshttps://doi.org/10.1109/taffc.2022.3145634openalex-snapshot
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter
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