Examining temporal bias in abusive language detection
The use of abusive language online has become an increasingly pervasive problem that
damages both individuals and society, with effects ranging from psychological harm right …
damages both individuals and society, with effects ranging from psychological harm right …
hate-alert@ dravidianlangtech: Multimodal abusive language detection and sentiment analysis in dravidian languages
The use of abusive language on social media platforms is a prevalent issue that requires
effective detection. Researchers actively engage in abusive language detection and …
effective detection. Researchers actively engage in abusive language detection and …
hate-alert@ LT-EDI-2023: Hope Speech Detection Using Transformer-Based Models
Social media platforms have become integral to our daily lives, facilitating instant sharing of
thoughts and ideas. While these platforms often host inspiring, motivational, and positive …
thoughts and ideas. While these platforms often host inspiring, motivational, and positive …
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
Internet memes, channels for humor, social commentary, and cultural expression, are
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …
Attribute-enhanced Selection of Proper Demonstrations for Harmful Meme Detection
M Lin, Q Huang, Q Lu, X Guo… - 2024 27th International …, 2024 - ieeexplore.ieee.org
Internet memes are becoming increasingly prevalent across social media platforms, but also
leveraged by malicious users to spread harmful speech. Recent studies have achieved …
leveraged by malicious users to spread harmful speech. Recent studies have achieved …