Recent advances in using natural language processing to address public health research questions using social media and consumergenerated data
Objective: We present a narrative review of recent work on the utilisation of Natural
Language Processing (NLP) for the analysis of social media (including online health …
Language Processing (NLP) for the analysis of social media (including online health …
[HTML][HTML] Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media
Background The COVID-19 pandemic has caused several disruptions in personal and
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
[HTML][HTML] Monitoring depression trends on Twitter during the COVID-19 pandemic: observational study
Background The COVID-19 pandemic has affected people's daily lives and has caused
economic loss worldwide. Anecdotal evidence suggests that the pandemic has increased …
economic loss worldwide. Anecdotal evidence suggests that the pandemic has increased …
“I See Me Here”: Mental Health Content, Community, and Algorithmic Curation on TikTok
Social media platforms are a place where people look for information and social support for
mental health, resulting in both positive and negative effects on users. TikTok has gained …
mental health, resulting in both positive and negative effects on users. TikTok has gained …
Pengaplikasian teori penetrasi sosial pada aplikasi online dating
AF Habibah, F Shabira… - Jurnal Teknologi Dan …, 2021 - jurnal.unidha.ac.id
Perkembangan teknologi telah mengubah aspek kehidupan masyarakat termasuk dalam
berinteraksi dan berkomunikasi. Interaksi dan komunikasi interpersonal yang dilakukan …
berinteraksi dan berkomunikasi. Interaksi dan komunikasi interpersonal yang dilakukan …
Semantic gap in predicting mental wellbeing through passive sensing
When modeling passive data to infer individual mental wellbeing, a common source of
ground truth is self-reports. But these tend to represent the psychological facet of mental …
ground truth is self-reports. But these tend to represent the psychological facet of mental …
[HTML][HTML] Understanding the role of social media–based Mental Health support among College Students: Survey and Semistructured interviews
P Vornholt, M De Choudhury - JMIR Mental Health, 2021 - mental.jmir.org
Background Mental illness is a growing concern within many college campuses. Limited
access to therapy resources, along with the fear of stigma, often prevents students from …
access to therapy resources, along with the fear of stigma, often prevents students from …
Everyday experiences: small stories and mental illness on Instagram
Despite historical precedence and modern prevalence, mental illness and associated
disorders are frequently aligned with notions of deviance and, by association, abnormality …
disorders are frequently aligned with notions of deviance and, by association, abnormality …
Contextual gaps in machine learning for mental illness prediction: The case of diagnostic disclosures
Getting training data for machine learning (ML) prediction of mental illness on social media
data is labor intensive. To work around this, ML teams will extrapolate proxy signals, or …
data is labor intensive. To work around this, ML teams will extrapolate proxy signals, or …
Engagement patterns of peer-to-peer interactions on mental health platforms
Mental illness is a global health problem, but access to mental healthcare resources remain
poor worldwide. Online peer-to-peer support platforms attempt to alleviate this fundamental …
poor worldwide. Online peer-to-peer support platforms attempt to alleviate this fundamental …