Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection

Shiying Fan, Mareike Bassenge, Martin Steinebach


Abstract
As the use of digital devices and social media grows among younger users, cybergrooming has emerged as a critical social concern for protecting vulnerable minors online. However, research on automated cybergrooming detection remains limited due to data scarcity. Building on previous studies that conceptualize cybergrooming as a form of luring communication, this paper investigates the potential transferability of corpora from luring or manipulative contexts for cybergrooming detection.
Anthology ID:
2026.acl-short.31
Volume:
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2026
Address:
San Diego, California, United States
Editors:
Maria Liakata, Viviane P. Moreira, Jiajun Zhang, David Jurgens
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
371–385
Language:
URL:
https://preview.aclanthology.org/ingest-acl/2026.acl-short.31/
DOI:
Bibkey:
Cite (ACL):
Shiying Fan, Mareike Bassenge, and Martin Steinebach. 2026. Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 371–385, San Diego, California, United States. Association for Computational Linguistics.
Cite (Informal):
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection (Fan et al., ACL 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl/2026.acl-short.31.pdf
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