@inproceedings{durairaj-etal-2026-findings,
    title = "Findings of the Shared Task on Hope Speech Detection in {T}ulu",
    author = "Durairaj, Thenmozhi  and
      Gowda, Anusha M D  and
      Adyanthaya, Raksha  and
      P, Rathnakara Shetty  and
      Hegde, Parameshwar R  and
      Aljunid, Mohammed Fadhel  and
      Kumaresan, Prasanna Kumar  and
      Chakravarthi, Bharathi Raja",
    editor = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Madasamy, Anand Kumar  and
      Thavareesan, Sajeetha  and
      Rajiakodi, Saranya  and
      Navaneethakrishnan, Subalalitha  and
      Chinnappa, Dhivya  and
      Palani, Balasubramanian  and
      Subramanian, Malliga  and
      Shanmugavadivel, Kogilavani  and
      Rajalakshmi, Ratnavel",
    booktitle = "Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for {D}ravidian Languages",
    month = jul,
    year = "2026",
    address = "Underline (Virtual)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.dravidianlangtech-1.10/",
    pages = "80--87",
    ISBN = "979-8-89176-401-9",
    abstract = "Hope Speech Identification is the process of detecting positive, supportive, and encouraging language in text. It focuses on identifying content that promotes unity, inclusiveness, and resilience. Identification of hope speech helps supports mental well being, create healthier online environments, counter hate speech, and promote positive digital communication. This shared task hope speech detection in code-mixed Tulu language as part of DravidianLangTech @ ACL 2026, focuses on both the coarse-grained hope tone classification and the fine-grained hope type classification tasks. There are 11 teams participated in the tasks and submitted several runs for both the tasks. The teams are ranked based on the macro-F1 score."
}