Natural language processing of social media as screening for suicide risk

G Coppersmith, R Leary… - Biomedical informatics …, 2018 - journals.sagepub.com
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …

Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

“Participant” perceptions of Twitter research ethics

C Fiesler, N Proferes - Social Media+ Society, 2018 - journals.sagepub.com
Social computing systems such as Twitter present new research sites that have provided
billions of data points to researchers. However, the availability of public social media data …

Utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences

M Trotzek, S Koitka, CM Friedrich - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Depression is ranked as the largest contributor to global disability and is also a major
reason for suicide. Still, many individuals suffering from forms of depression are not treated …

What is your definition of Big Data? Researchers' understanding of the phenomenon of the decade

M Favaretto, E De Clercq, CO Schneble, BS Elger - PloS one, 2020 - journals.plos.org
The term Big Data is commonly used to describe a range of different concepts: from the
collection and aggregation of vast amounts of data, to a plethora of advanced digital …

Who is the" human" in human-centered machine learning: The case of predicting mental health from social media

S Chancellor, EPS Baumer… - Proceedings of the ACM …, 2019 - dl.acm.org
" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …

A taxonomy of ethical tensions in inferring mental health states from social media

S Chancellor, ML Birnbaum, ED Caine… - Proceedings of the …, 2019 - dl.acm.org
Powered by machine learning techniques, social media provides an unobtrusive lens into
individual behaviors, emotions, and psychological states. Recent research has successfully …

From treatment to healing: envisioning a decolonial digital mental health

SR Pendse, D Nkemelu, NJ Bidwell, S Jadhav… - Proceedings of the …, 2022 - dl.acm.org
The field of digital mental health is making strides in the application of technology to
broaden access to care. We critically examine how these technology-mediated forms of care …

[HTML][HTML] Attitudes toward the ethics of research using social media: a systematic review

S Golder, S Ahmed, G Norman, A Booth - Journal of medical internet …, 2017 - jmir.org
Background Although primarily used for social networking and often used for social support
and dissemination, data on social media platforms are increasingly being used to facilitate …

Deep learning techniques for suicide and depression detection from online social media: A scoping review

A Malhotra, R Jindal - Applied Soft Computing, 2022 - Elsevier
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …