Title
Self-Supervised Euphemism Detection and Identification for Content Moderation
Abstract
Fringe groups and organizations have a long history of using euphemisms—ordinary-sounding words with a secret meaning—to conceal what they are discussing. Nowadays, one common use of euphemisms is to evade content moderation policies enforced by social media platforms. Existing tools for enforcing policy automatically rely on keyword searches for words on a "ban list", but these are notoriously im...
Year
DOI
Venue
2021
10.1109/SP40001.2021.00075
2021 IEEE Symposium on Security and Privacy (SP)
Keywords
DocType
ISBN
Euphemism detection,Euphemism identification,Self-supervised learning,Masked Language Model (MLM),Coarse-to-fine-grained classification
Conference
978-1-7281-8934-5
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Wanzheng Zhu1122.49
Hongyu Gong2175.66
Rohan Bansal300.34
Zachary Weinberg400.34
Nicolas Christin500.34
Giulia Fanti600.34
Suma Bhat7136.39