Trio Innovators @ DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages (ACL Anthology)
Using both audio and text modalities, the current research provides a thorough analysis of multimodal hate speech detection in the…
preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred.
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…
The study of political and philosophical worldviews that may predispose individuals to radical or extremist beliefs remains an under-explored domain…
Browse and read from a list of the 350 most popular LinkedIn resources, also including 28 reports and five full…
In recent years, a number of compilations on free speech have been released worldwide. The current book compiles extremely thorough…
Intergroup animosity is common online, but there is still little data on how to combat it. With an emphasis on…
Social media’s popularity has contributed to an increase in hate speech, endangering people’s safety and fueling hate crimes. Spelling mistakes,…
In order to clean up digital discourse and comprehend hatred as a social phenomena, automatic identification of hate speech online…
The natural language processing community has recently focused a lot of emphasis on the intrinsically difficult job of detecting hate…
Experts and practitioners in the field of coalition building for fighting hate speech are included in the event film, sharing…
Detecting hate speech is challenging due to its subtle, context-dependent nature—especially when it targets specific groups. This study explores how…
Among the main subjects of discussion at the Conference on Preventing and Combating Hate Crime, which will take place in…