EDTT Dataset

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Authors: Eden Shaveet, Thalia Viranda, Tanzeem Choudhury
Cited by: 0

Abstract

EDTT is the public-facing EDTT dataset, a clinically grounded dataset of pro-ED TikTok posts annotated for multimodal features, curated through text-based retrieval, recommendation-based surfacing, and annotated by subject-matter experts. The current, public-facing EDTT dataset is small (but robustly human-annotated) and is available for immediate download and use. For privacy preservation, the full unpublished dataset includes private variables which are not publicly available, in accordance with the TikTok Research API Terms of Service. No identifiable information is included in the dataset to protect the privacy of TikTok users, and no attempts were made to identify individual users or access private data. Please contact us if you have any questions. This initial dataset was prepared for presentation at the 47th Annual Meeting & Scientific Sessions of the Society of Behavioral Medicine (SBM), held April 22–25, 2026 in Chicago, IL, USA.

Fields of Study & Subjects

Mental Health via Writing Social Media in Health Education Hate Speech and Cyberbullying Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN
Document type
Dataset