Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis

Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates

(2018) Elizabeth M Seabrook et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study

(2018) Miguel Angel Alvarez-Mon et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

#WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems

(2017) Natalie Berry et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals

(2017) Michael L Birnbaum et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study

(2017) Danielle Mowery et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Researching Mental Health Disorders in the Era of Social Media: Systematic Review

(2017) Akkapon Wongkoblap et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Forecasting the onset and course of mental illness with Twitter data

(2017) Andrew G. Reece et al.   Scientific Reports

The economic costs of mental disorders

(2016) Sebastian Trautmann et al.   EMBO REPORTS

#Proana: Pro-Eating Disorder Socialization on Twitter

(2016) Alina Arseniev-Koehler et al.   JOURNAL OF ADOLESCENT HEALTH

Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns

(2016) Kathryn C. Finch et al.   NATURAL HAZARDS

Estimating the secondary attack rate and serial interval of influenza-like illnesses using social media

(2015) Elad Yom-Tov et al.   Influenza and Other Respiratory Viruses

Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

(2015) Theo Vos et al.   LANCET

Using linguistic and topic analysis to classify sub-groups of online depression communities

(2015) Thin Nguyen et al.   MULTIMEDIA TOOLS AND APPLICATIONS

The digital phenotype

(2015) Sachin H Jain et al.   NATURE BIOTECHNOLOGY

Building layered, multilingual sentiment lexicons at synset and lemma levels

(2014) Fermín L. Cruz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Twitter: A Good Place to Detect Health Conditions

(2014) Víctor M. Prieto et al.   PLoS One

Discovering Health Topics in Social Media Using Topic Models

(2014) Michael J. Paul et al.   PLoS One

Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month

(2013) Rosemary Thackeray et al.   BMC CANCER

Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010

(2013) Harvey A Whiteford et al.   LANCET

Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010

(2013) Alize J. Ferrari et al.   PLOS MEDICINE

Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet

(2009) Gunther Eysenbach   JOURNAL OF MEDICAL INTERNET RESEARCH