Anticipating depression based on online social media behaviour

EA Ríssola, SA Bahrainian, F Crestani - … FQAS 2019, Amantea, Italy, July 2 …, 2019 - Springer
Mental disorders are major concerns 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 …

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 …

Automatic detection of depressive users in social media

F Benamara, V Moriceau, J Mothe… - … en Recherche d' …, 2018 - hal.science
According to the World Health Organization, 350 million people worldwide sufferfrom
depression. Detecting this trouble constitutes thus a challenge for personal and …

Depression recognition in social media based on symptoms' detection

I Tlelo-Coyotecatl, HJ Escalante, M Montes y Gómez - 2022 - rua.ua.es
Depression is a common mental disorder that affects millions of people around the world.
Recently, several methods have been proposed that detect people suffering from …

Overview of the shared task on Detecting Signs of Depression from Social Media Text

S Kayalvizhi, D Thenmozhi… - Proceedings of the …, 2023 - aclanthology.org
Social media has become a vital platform for personal communication. Its widespread use
as a primary means of public communication offers an exciting opportunity for early …

[PDF][PDF] Discovering Latent Depression Patterns in Online Social Media.

EA Ríssola, DE Losada, F Crestani - IIR, 2019 - apps.citius.usc.es
Mental health disorders are a major concern worldwide. However many cases still go
undetected. Due to their increasing popularity, online social media sites became promising …

Hybrid approach to detecting symptoms of depression in social media entries

A Wołk, K Chlasta, P Holas - arXiv preprint arXiv:2106.10485, 2021 - arxiv.org
Sentiment and lexical analyses are widely used to detect depression or anxiety disorders. It
has been documented that there are significant differences in the language used by a …

MentalHelp: A Multi-Task Dataset for Mental Health in Social Media

N Raihan, SSC Puspo, S Farabi… - Proceedings of the …, 2024 - aclanthology.org
Early detection of mental health disorders is an essential step in treating and preventing
mental health conditions. Computational approaches have been applied to users' social …

Explainable depression detection using large language models on social media data

Y Wang, D Inkpen… - Proceedings of the 9th …, 2024 - aclanthology.org
Due to the rapid growth of user interaction on different social media platforms, publicly
available social media data has increased substantially. The sheer amount of data and level …

Read, diagnose and chat: Towards explainable and interactive LLMs-augmented depression detection in social media

W Qin, Z Chen, L Wang, Y Lan, W Ren… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper proposes a new depression detection system based on LLMs that is both
interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence …