Detecting depression and mental illness on social media: an integrative review

SC Guntuku, DB Yaden, ML Kern, LH Ungar… - Current Opinion in …, 2017 - Elsevier
Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

HCI and Affective Health: Taking stock of a decade of studies and charting future research directions

P Sanches, A Janson, P Karpashevich… - Proceedings of the …, 2019 - dl.acm.org
In the last decade, the number of articles on HCI and health has increased dramatically. We
extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of …

Detection of depression-related posts in reddit social media forum

MM Tadesse, H Lin, B Xu, L Yang - Ieee Access, 2019 - ieeexplore.ieee.org
Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …

[HTML][HTML] Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media

K Saha, J Torous, ED Caine… - Journal of medical internet …, 2020 - jmir.org
Background The COVID-19 pandemic has caused several disruptions in personal and
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …

Prevalence and psychological effects of hateful speech in online college communities

K Saha, E Chandrasekharan… - Proceedings of the 10th …, 2019 - dl.acm.org
Background. Hateful speech bears negative repercussions and is particularly damaging in
college communities. The efforts to regulate hateful speech on college campuses pose …

Understanding and measuring psychological stress using social media

SC Guntuku, A Buffone, K Jaidka… - Proceedings of the …, 2019 - ojs.aaai.org
A body of literature has demonstrated that users' mental health conditions, such as
depression and anxiety, can be predicted from their social media language. There is still a …

A survey on big data-driven digital phenotyping of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Predicting future mental illness from social media: A big-data approach

R Thorstad, P Wolff - Behavior research methods, 2019 - Springer
In the present research, we investigated whether people's everyday language contains
sufficient signal to predict the future occurrence of mental illness. Language samples were …

[HTML][HTML] 'Against the cult of veganism': Unpacking the social psychology and ideology of anti-vegans

R Gregson, J Piazza, RL Boyd - Appetite, 2022 - Elsevier
Despite the established health and ecological benefits of a plant-based diet, the decision to
eschew meat and other animal-derived food products remains controversial. So polarising is …

[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: scoping review

P Gooding, T Kariotis - JMIR Mental Health, 2021 - mental.jmir.org
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …