Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Blum, Paul, Liscio, Enrico, Zhang, Ruixuan, Figueroa, Caroline, Murukannaiah, Pradeep K.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Signs of Struggle: Spotting Cognitive Distortions across Language and Register
by: Kuber, Abhishek, et al.
Published: (2025)

News is More than a Collection of Facts: Moral Frame Preserving News Summarization
by: Liscio, Enrico, et al.
Published: (2025)

Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
by: Park, Jeongwoo, et al.
Published: (2024)

Annotator-Centric Active Learning for Subjective NLP Tasks
by: van der Meer, Michiel, et al.
Published: (2024)

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
by: Liscio, Enrico, et al.
Published: (2024)

Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
by: Khurana, Urja, et al.
Published: (2026)

A Hybrid Intelligence Method for Argument Mining
by: van der Meer, Michiel, et al.
Published: (2024)

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)

Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
by: Shimgekar, Soorya Ram, et al.
Published: (2025)

Right vs. Right: Can LLMs Make Tough Choices?
by: Yuan, Jiaqing, et al.
Published: (2024)

Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)

A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data
by: Allayla, Mohamed A., et al.
Published: (2024)

Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
by: Saad, Fardin, et al.
Published: (2025)

Gricean Norms as a Basis for Effective Collaboration
by: Saad, Fardin, et al.
Published: (2025)

Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces
by: Shimgekar, Soorya Ram, et al.
Published: (2025)

Multi-Agent Causal Reasoning for Suicide Ideation Detection Through Online Conversations
by: Li, Jun, et al.
Published: (2026)

Do Differences in Values Influence Disagreements in Online Discussions?
by: van der Meer, Michiel, et al.
Published: (2023)

Taking a SEAT: Predicting Value Interpretations from Sentiment, Emotion, Argument, and Topic Annotations
by: Dobrinoiu, Adina Nicola, et al.
Published: (2025)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
by: Li, Tong, et al.
Published: (2025)

Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media
by: Li, Jun, et al.
Published: (2025)

Detecting Suicidal Ideation in Text with Interpretable Deep Learning: A CNN-BiGRU with Attention Mechanism
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2025)

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
by: Ghanadian, Hamideh, et al.
Published: (2024)

An Empirical Analysis of Diversity in Argument Summarization
by: van der Meer, Michiel, et al.
Published: (2024)

Evaluating Transformer Models for Suicide Risk Detection on Social Media
by: Pokrywka, Jakub, et al.
Published: (2024)

Evidence-Driven Marker Extraction for Social Media Suicide Risk Detection
by: Adams, Carter, et al.
Published: (2025)

Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
by: Nguyen, Van Minh, et al.
Published: (2023)

Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media
by: Song, Yukai, et al.
Published: (2025)

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments
by: Homayounirad, Amir, et al.
Published: (2025)

Sentiment Analysis of Cyberbullying Data in Social Media
by: Susmitha, Arvapalli Sai, et al.
Published: (2024)

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
by: Hasan, Khalid, et al.
Published: (2024)

Rethinking Suicidal Ideation Detection: A Trustworthy Annotation Framework and Cross-Lingual Model Evaluation
by: Dzafic, Amina, et al.
Published: (2025)

Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media
by: Yazdani, Shakib, et al.
Published: (2025)

Suicide Risk Assessment on Social Media with Semi-Supervised Learning
by: Lovitt, Max, et al.
Published: (2024)

Detection of Suicidal Risk on Social Media: A Hybrid Model
by: Yang, Zaihan, et al.
Published: (2025)

Social Support and Suicide Ideation in Clinical and Community Adolescents
by: Taylor Kalgren, et al.
Published: (2025)

SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis
by: Qi, Hongzhi, et al.
Published: (2024)

SignCLIP: Connecting Text and Sign Language by Contrastive Learning
by: Jiang, Zifan, et al.
Published: (2024)

Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels
by: Nguyen, Vy, et al.
Published: (2024)

Benchmarking Machine Translation on Chinese Social Media Texts
by: Zhao, Kaiyan, et al.
Published: (2026)

The First Multilingual Model For The Detection of Suicide Texts
by: Zevallos, Rodolfo, et al.
Published: (2024)