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Overview of the CLPsych 2025 Shared Task: Capturing Mental Health Dynamics from Social Media Timelines

Overview of the CLPsych 2025 Shared Task, which combined longitudinal modeling of a person's mental-health state across their social-media timeline with evidence extraction and summarization. Its subtasks asked systems to extract text spans reflecting adaptive and maladaptive self-states, assign per-post well-being scores on a 1-10 scale, and summarize how self-states evolve at the post and timeline level.

Publisher

Association for Computational Linguistics (CLPsych 2025 Workshop)

Published

1 May 2025

Added

3 months ago

Key Findings

  • Pairs longitudinal mental-state tracking with extraction of the supporting evidence spans behind each self-state label
  • Scores well-being per post on a 1-10 scale and summarizes self-state dynamics at both the post and timeline level
  • Frames mental-health monitoring as evidence-grounded and human-interpretable rather than a single opaque score

Methodology Notes

Peer-reviewed shared-task overview, 10th CLPsych Workshop (NAACL 2025). Published May 2025; exact day not stated, so the day is set to 01. Substrate is social-media timelines, not chatbot conversation.

Authors

Talia Tseriotou, Jenny Chim, Ayal Klein, Aviad Shamir, Guy Dvir, Iman Munire Bilal, George Kennedy, Chandan Kumar Singh Kohli, Anthony Hills, Ayah Zirikly, Dana Atzil-Slonim, Maria Liakata

Tags

clpsychmoments-of-changelongitudinalevidence-extractionliakata

Cite This

APA

Talia Tseriotou et al. (2025). Overview of the CLPsych 2025 Shared Task: Capturing Mental Health Dynamics from Social Media Timelines. Association for Computational Linguistics (CLPsych 2025 Workshop). https://aclanthology.org/2025.clpsych-1.16/