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 …

Values, challenges and future directions of big data analytics in healthcare: A systematic review

P Galetsi, K Katsaliaki, S Kumar - Social science & medicine, 2019 - Elsevier
The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …

[HTML][HTML] Toward dynamic urban environmental exposure assessments in mental health research

M Helbich - Environmental research, 2018 - Elsevier
It is increasingly recognized that mental disorders are affected by both personal
characteristics and environmental exposures. The built, natural, and social environments …

[HTML][HTML] The power of emotions: Leveraging user generated content for customer experience management

M Sykora, S Elayan, IR Hodgkinson… - Journal of Business …, 2022 - Elsevier
Customer experience management (CEM) in the social media age finds itself needing to
adapt to a rapidly changing digital environment and hence there is a need for innovative …

Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention

JA Naslund, PP Gonsalves, O Gruebner… - … treatment options in …, 2019 - Springer
Purpose Globally, individuals living with mental disorders are more likely to have access to a
mobile phone than mental health care. In this commentary, we highlight opportunities for …

Data work of frontline care workers: practices, problems, and opportunities in the context of data-driven long-term care

Y Sun, X Ma, S Lindtner, L He - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Using data and data technologies to support healthcare has drawn significant attention
recently. While CSCW and HCI have largely celebrated the tremendous promise of'data …

A framework to analyze the emotional reactions to mass violent events on Twitter and influential factors

JGD Harb, R Ebeling, K Becker - Information Processing & Management, 2020 - Elsevier
The number of mass shootings has increased in recent years. Understanding the factors that
affect the emotional reactions of the population is very important to help them to cope with …

Spatio-temporal distribution of negative emotions in New York City after a natural disaster as seen in social media

O Gruebner, SR Lowe, M Sykora… - International journal of …, 2018 - mdpi.com
Disasters have substantial consequences for population mental health. We used Twitter to
(1) extract negative emotions indicating discomfort in New York City (NYC) before, during …

Predictors of contemporary under-5 child mortality in low-and middle-income countries: A machine learning approach

A Bizzego, G Gabrieli, MH Bornstein… - International journal of …, 2021 - mdpi.com
Child Mortality (CM) is a worldwide concern, annually affecting as many as 6.81% children
in low-and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster …

[HTML][HTML] Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

VD Swain, J Ye, SK Ramesh, A Mondal… - JMIR Formative …, 2024 - formative.jmir.org
Background: Large-scale crisis events such as COVID-19 often have secondary impacts on
individuals' mental well-being. University students are particularly vulnerable to such …