BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok. Chu, M. D., Pawar, K., He, Z., Sharifi, R., Sonnenblick, R. M., Curry, M., D'Adamo, L., Young, L., Murray, S. B., & Lerman, K. In Demberg, V., Inui, K., & Marquez, L., editors, Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026 - Volume 1: Long Papers, Rabat, Morocco, March 24-29, 2026, pages 766–790, 2026. Association for Computational Linguistics.
BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok [link]Paper  bibtex   
@inproceedings{DBLP:conf/eacl/ChuPHSSCDYML26,
  author       = {Minh Duc Chu and
                  Kshitij Pawar and
                  Zihao He and
                  Roxanna Sharifi and
                  Ross M. Sonnenblick and
                  Magdalayna Curry and
                  Laura D'Adamo and
                  Lindsay Young and
                  Stuart B. Murray and
                  Kristina Lerman},
  editor       = {Vera Demberg and
                  Kentaro Inui and
                  Llu{\'{\i}}s Marquez},
  title        = {BigTokDetect: {A} Clinically-Informed Vision-Language Modeling Framework
                  for Detecting Pro-Bigorexia Videos on TikTok},
  booktitle    = {Proceedings of the 19th Conference of the European Chapter of the
                  Association for Computational Linguistics, {EACL} 2026 - Volume 1:
                  Long Papers, Rabat, Morocco, March 24-29, 2026},
  pages        = {766--790},
  publisher    = {Association for Computational Linguistics},
  year         = {2026},
  url          = {https://aclanthology.org/2026.eacl-long.33/},
  timestamp    = {Mon, 30 Mar 2026 17:02:29 +0200},
  biburl       = {https://dblp.org/rec/conf/eacl/ChuPHSSCDYML26.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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