Detecting depression signs on social media: a systematic literature review

R Salas-Zárate, G Alor-Hernández, MP Salas-Zárate… - Healthcare, 2022 - mdpi.com
Among mental health diseases, depression is one of the most severe, as it often leads to
suicide; due to this, it is important to identify and summarize existing evidence concerning …

A systematic review of ethics disclosures in predictive mental health research

LH Ajmani, S Chancellor, B Mehta, C Fiesler… - Proceedings of the …, 2023 - dl.acm.org
Applied machine learning (ML) has not yet coalesced on standard practices for research
ethics. For ML that predicts mental illness using social media data, ambiguous ethical …

A survey of computational methods for online mental state assessment on social media

EA Ríssola, DE Losada, F Crestani - ACM Transactions on Computing …, 2021 - dl.acm.org
Mental state assessment by analysing user-generated content is a field that has recently
attracted considerable attention. Today, many people are increasingly utilising online social …

[HTML][HTML] Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation

EA Ríssola, M Aliannejadi, F Crestani - Information processing & …, 2022 - Elsevier
Due to the worldwide accessibility to the Internet along with the continuous advances in
mobile technologies, physical and digital worlds have become completely blended, and the …

Depression detection on online social network with multivariate time series feature of user depressive symptoms

Y Cai, H Wang, H Ye, Y Jin, W Gao - Expert Systems with Applications, 2023 - Elsevier
In recent years, depression has attracted worldwide attention because of its prevalence and
great risk for suicide. Existing studies have confirmed the feasibility of depression detection …

Beyond modelling: Understanding mental disorders in online social media

EA Ríssola, M Aliannejadi, F Crestani - … 14–17, 2020, Proceedings, Part I …, 2020 - Springer
Mental disorders are a major concern in societies all over the world, and in spite of the
improved diagnosis rates of such disorders in recent years, many cases still go undetected …

Words for the hearts: a corpus study of metaphors in online depression communities

J Shi, Z Khoo - Frontiers in Psychology, 2023 - frontiersin.org
Purpose/significance Humans understand, think, and express themselves through
metaphors. The current paper emphasizes the importance of identifying the metaphorical …

[HTML][HTML] An attention-based CNN-BiLSTM model for depression detection on social media text

JP Thekkekara, S Yongchareon, V Liesaputra - Expert Systems with …, 2024 - Elsevier
Depression has long been described as a common mental health disorder and a disease
with a set of diagnostic criteria that influences the affected individuals' feelings and behavior …

A dataset for research on depression in social media

EA Ríssola, SA Bahrainian, F Crestani - … of the 28th ACM conference on …, 2020 - dl.acm.org
Language provides a unique window into thoughts, enabling direct assessment of mental-
state alterations. Due to their increasing popularity, online social media platforms have …

IDIAP submission@ LT-EDI-ACL2022: Detecting signs of depression from social media text

M Singh, P Motlicek - Proceedings of the Second Workshop on …, 2022 - aclanthology.org
Depression is a common illness involving sadness and lack of interest in all day-to-day
activities. It is important to detect depression at an early stage as it is treated at an early …