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References from Naturalistic Online Language as a Marker of Depression in Midlife and Older Adults: Computational Text Analysis of Bluesky and Reddit Posts. Local targets link to admitted publications; unresolved targets remain external evidence.
Depression alters the circadian pattern of online activity
10.1038/s41598-020-74314-3 · External reference
Seeking connectedness through social media use: associations with adolescent empathic understanding and perspective-taking
10.1007/s12144-022-04096-6 · External reference
Detecting depression and mental illness on social media: an integrative review
10.1016/j.cobeha.2017.07.005 · External reference
Negative affect variability differs between anxiety and depression on social media
10.1371/journal.pone.0272107 · External reference
Using language in social media posts to study the network dynamics of depression longitudinally
10.1038/s41467-022-28513-3 · External reference
Associations between time spent using social media and internalizing and externalizing problems among US youth
10.1001/jamapsychiatry.2019.2325 · External reference
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Social media use and well-being among older adults
10.1016/j.copsyc.2021.12.005 · External reference
Active and passive social media use are differentially related to depressive symptoms in older adults
10.1080/13607863.2022.2068133 · External reference
Smartphone usage among older adults
10.1016/j.chb.2021.106783 · External reference
Social media use and depression in older adults: a systematic review
10.3928/19404921-20230220-05 · External reference
Problematic social media use and perceived social isolation in older adults: a cross-sectional study
10.1159/000502577 · External reference
Emerging digital inequalities: a comparative study of older adults’ smartphone use
10.1177/20563051221138756 · External reference
10.1145/2702613.2732733
10.1145/2702613.2732733 · External reference
Self-disclosure in social media and psychological well-being: a meta-analysis
10.1177/02654075221119429 · External reference
Self-disclosure and social media: motivations, mechanisms and psychological well-being
10.1016/j.copsyc.2019.08.019 · External reference
10.1097/00019442-200205000-00003
10.1097/00019442-200205000-00003 · External reference
Assessment of late life depression
10.1016/s0006-3223(02)01381-1 · External reference
Individuals with depression express more distorted thinking on social media
10.1038/s41562-021-01050-7 · External reference
Advances in cognitive theory and therapy: the generic cognitive model
10.1146/annurev-clinpsy-032813-153734 · External reference
Historical language records reveal a surge of cognitive distortions in recent decades
10.1073/pnas.2102061118 · External reference
Reply to Schmidt et al.: a robust surge of cognitive distortions in historical language
10.1073/pnas.2115842118 · External reference
Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures
10.1126/science.1202775 · External reference
Predicting depression via social media
10.1609/icwsm.v7i1.14432 · External reference
Automated detection of cognitive distortions in text exchanges between clinicians and people with serious mental illness
10.1176/appi.ps.202100692 · External reference
In an absolute state: elevated use of absolutist words is a marker specific to anxiety, depression, and suicidal ideation
10.1177/2167702617747074 · External reference
The happiness paradox: your friends are happier than you
10.1140/epjds/s13688-017-0100-1 · External reference
Anxiety and depression are associated with more distorted thinking on social media: a longitudinal multi-method study
10.1007/s10608-025-10580-7 · External reference
VADER: a parsimonious rule-based model for sentiment analysis of social media text
10.1609/icwsm.v8i1.14550 · External reference
The PHQ-8 as a measure of current depression in the general population
10.1016/j.jad.2008.06.026 · External reference
A latent variable approach to affect variability in daily life accurately predicts psychopathology, especially depression symptoms in a non-clinical sample
10.55913/joep.v1i2.82 · External reference
The heterogeneity of “major depression”
10.1002/j.2051-5545.2011.tb00061.x · External reference
Daily affective dynamics predict depression symptom trajectories among adults with major and minor depression
10.1007/s42761-020-00014-w · External reference
Is TikTok more addictive than other social media platforms: perception versus reality
10.55284/ajssh.v9i2.1147 · External reference
Twenty-five years of social media: a review of social media applications and definitions from 1994 to 2019
10.1089/cyber.2020.0134 · External reference
10.1016/b978-0-12-815970-5.00023-1
10.1016/b978-0-12-815970-5.00023-1 · External reference
Social networking sites and addiction: ten lessons learned
10.3390/ijerph14030311 · External reference
Social media and mental health: benefits, risks, and opportunities for research and practice
10.1007/s41347-020-00134-x · External reference
Negativity bias, negativity dominance, and contagion
10.1207/s15327957pspr0504_2 · External reference
Cognitive vulnerability to depression can be contagious
10.1177/2167702613485075 · External reference
Age differences in online social networking – a study of user profiles and the social capital divide among teenagers and older users in MySpace
10.1016/j.chb.2008.08.015 · External reference
“I haven’t been diagnosed, but I should be”-insight into self-diagnoses of common mental health disorders: cross-sectional study
10.2196/39206 · External reference
Sociodemographics and transdiagnostic mental health symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: cross-sectional survey and botometer analysis
10.2196/39324 · External reference
Self-disclosure and social media use among younger and older people with dementia: an internet-mediated mixed-methods study
10.1080/10447318.2023.2265728 · External reference
10.1007/978-3-030-50232-4_10
10.1007/978-3-030-50232-4_10 · External reference
Positive association between internet use and mental health among adults aged ≥50 years in 23 countries
10.1038/s41562-024-02048-7 · External reference
What is the association between depression and Alzheimer’s disease?
10.1586/ern.09.106 · External reference
Depression and risk of developing dementia
10.1038/nrneurol.2011.60 · External reference
Machine learning approaches for depression detection on social media: a systematic review of biases and methodological challenges
10.35566/jbds/caoyc · External reference
Perplexity – a new predictor of cognitive changes in spoken language? – Results of the Interdisciplinary Longitudinal Study on Adult Development and Aging (ILSE)
10.1515/lingvan-2018-0026 · External reference
Trade-offs between machine learning and deep learning for mental illness detection on social media
10.1038/s41598-025-99167-6 · External reference
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