@inproceedings{tseriotou-etal-2025-overview,
    title = "Overview of the {CLP}sych 2025 Shared Task: Capturing Mental Health Dynamics from Social Media Timelines",
    author = "Tseriotou, Talia  and
      Chim, Jenny  and
      Klein, Ayal  and
      Shamir, Aya  and
      Dvir, Guy  and
      Ali, Iqra  and
      Kennedy, Cian  and
      Singh Kohli, Guneet  and
      Hills, Anthony  and
      Zirikly, Ayah  and
      Atzil-Slonim, Dana  and
      Liakata, Maria",
    editor = "Zirikly, Ayah  and
      Yates, Andrew  and
      Desmet, Bart  and
      Ireland, Molly  and
      Bedrick, Steven  and
      MacAvaney, Sean  and
      Bar, Kfir  and
      Ophir, Yaakov",
    booktitle = "Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.clpsych-1.16/",
    pages = "193--217",
    ISBN = "979-8-89176-226-8",
    abstract = "We provide an overview of the CLPsych 2025 Shared Task, which focuses on capturing mental health dynamics from social media timelines. Building on CLPsych 2022{'}s longitudinal modeling approach, this work combines monitoring mental states with evidence and summary generation through four subtasks: (A.1) Evidence Extraction, highlighting text spans reflecting adaptive or maladaptive self-states; (A.2) Well-Being Score Prediction, assigning posts a 1 to 10 score based on social, occupational, and psychological functioning; (B) Post-level Summarization of the interplay between adaptive and maladaptive states within individual posts; and (C) Timeline-level Summarization capturing temporal dynamics of self-states over posts in a timeline. We describe key findings and future directions."
}