Classification is a RAG problem: A case study on hate speech detection (Hugging Face)
Adaptable classification algorithms that react to changing regulations without frequent retraining are necessary for effective content control. In this work,…
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Averting and Countering Online Hatred.
Adaptable classification algorithms that react to changing regulations without frequent retraining are necessary for effective content control. In this work,…
Growing online communities, easy access to social media, user anonymity, the speed at which information spreads, and increased awareness of…
Natural language processing (NLP) activities are now much more accurate and efficient because to recent developments in deep learning. However,…
With an emphasis on Walther’s (2024) theory, the current study examines how social approbation may fuel hate speech online: (H1a)…
Hyo-sun Ryu and Jae Kook Lee of Sungkyunkwan University used deep learning hate speech detection software to examine 25 million…
Although the majority of study has focused on high-resource languages, hate speech on social media poses a threat to public…
The identification of hate speech on social media has grown in significance. The current study addresses two issues: 1) identifying…
Browse and read from a list of the 270 most popular LinkedIn resources – including 10 videos and 4 full…
Browse and read from a list of the 125 most popular LinkedIn resources – including 2 full eBooks and 9…
Social media hate speech jeopardizes free speech and online safety, particularly when it comes to multilingual users. A trilingual dataset…
Using both audio and text modalities, the current research provides a thorough analysis of multimodal hate speech detection in the…
To effectively comprehend and manage hate speech and abusive language, sociocultural context is necessary. Moderation is frequently lacking or depends…