ArticleFrontiers in psychology2015
Sharing feelings online: studying emotional well-being via automated text analysis of Facebook posts.
Article in Frontiers in psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.
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Who cites it
51 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- A Systematic Review of Emoji: Current Research and Future Perspectives.Frontiers in psychology · 2019Pooled it
- Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review.PsyCh journal · 2026Article
- Objective speech measures capture depressive symptoms and associated cognitive difficulties.Translational psychiatry · 2025Article
- Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.JMIR formative research · 2025Article
- Development and Validation of Emoji Response Scales for Assessing Patient-Reported Outcomes.JCO clinical cancer informatics · 2025Article
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- Affective norms for 501 Chinese words from three emotional dimensions rated by depressive disorder patients.Frontiers in psychiatry · 2024Article
- Adolescent sadfishing on social media: anxiety, depression, attention seeking, and lack of perceived social support as potential contributors.BMC psychology · 2023Article
- United States politicians' tone became more negative with 2016 primary campaigns.Scientific reports · 2023Article
- Emoji-SP, the Spanish emoji database: Visual complexity, familiarity, frequency of use, clarity, and emotional valence and arousal norms for 1031 emojis.Behavior research methods · 2023Article
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- COVID-19 case prediction using emotion trendsFrontiers in public health · 2023Article
- Estimation of Lockdowns' Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data.International journal of environmental research and public health · 2022Article
- Predicting comments on Facebook photos: Who posts might matter more than what type of photo is posted.Addictive behaviors reports · 2022Article
- Global evidence of expressed sentiment alterations during the COVID-19 pandemic.Nature human behaviour · 2022Article
- In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study.JMIR mental health · 2022Article
- World Health Organization is losing online credibility towards health-sensitive topics: Infodemiological analysis of Facebook users' reactions.Health promotion perspectives · 2022Article
- Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub.PloS one · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital traces of activity on social network sites represent a vast source of ecological data with potential connections with individual behavioral and psychological characteristics. The present study investigates the relationship between user-generated textual content shared on Facebook and emotional well-being. Self-report measures of depression, anxiety, and stress were collected from 201 adult Facebook users from North Italy. Emotion-related textual indicators, including emoticon use, were extracted form users' Facebook posts via automated text analysis. Correlation analyses revealed that individuals with higher levels of depression, anxiety expressed negative emotions on Facebook more frequently. In addition, use of emoticons expressing positive emotions correlated negatively with stress level. When comparing age groups, younger users reported higher frequency of both emotion-related words and emoticon use in their posts. Also, the relationship between online emotional expression and self-report emotional well-being was generally stronger in the younger group. Overall, findings support the feasibility and validity of studying individual emotional well-being by means of examination of Facebook profiles. Implications for online screening purposes and future research directions are discussed.
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