Explainable depression symptom detection in social media

E Bao, A Pérez, J Parapar - Health Information Science and Systems, 2024 - Springer
Users of social platforms often perceive these sites as supportive spaces to post about their
mental health issues. Those conversations contain important traces about individuals' health …

Enhancing abusive language detection: A domain-adapted approach leveraging BERT pre-training tasks

H Jarquín-Vásquez, HJ Escalante… - Pattern Recognition …, 2024 - Elsevier
The widespread adoption of deep learning approaches in natural language processing is
largely attributed to their exceptional performance across diverse tasks. Notably …

Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery

F Lu, W Wang, Y Luo, Z Zhu, Q Sun, B Xu… - Proceedings of the …, 2024 - dl.acm.org
Social media has become ubiquitous for connecting with others, staying updated with news,
expressing opinions, and finding entertainment. However, understanding the intention …

[PDF][PDF] Stigma against mental illness and mental health: The role of Social Media

A Rizzo, L Calandi, M Faranda… - Adv Med …, 2025 - ampphealthjournal-network.org
This paper investigates the pervasive stigma against mental illness and mental health,
emphasizing the role of social media in sha** public attitudes and perceptions. Stigma …

NarrationDep: Narratives on social media for automatic depression detection

H Zogan, I Razzak, S Jameel, G Xu - arxiv preprint arxiv:2407.17174, 2024 - arxiv.org
Social media posts provide valuable insight into the narrative of users and their intentions,
including providing an opportunity to automatically model whether a social media user is …

AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts

M Jiang, YJ Yu, Q Zhao, J Li, C Song, H Qi… - arxiv preprint arxiv …, 2024 - arxiv.org
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational
thoughts stemming from mental illnesses, but it necessitates precise identification of …

Chinese MentalBERT: Domain-adaptive pre-training on social media for Chinese mental health text analysis

W Zhai, H Qi, Q Zhao, J Li, Z Wang, H Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
In the current environment, psychological issues are prevalent and widespread, with social
media serving as a key outlet for individuals to share their feelings. This results in the …

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 …

Guardian-BERT: Early detection of self-injury and suicidal signs with language technologies in electronic health reports

J Martinez-Romo, L Araujo, B Reneses - Computers in Biology and …, 2025 - Elsevier
Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior,
represent a growing global concern. Early detection of these conditions is crucial for timely …