A Target-Aware Analysis of Data Augmentation for Hate Speech Detection (arXiv)
The authors explore the idea of enhancing current data with generative language models, lowering target imbalance, given the unparalleled skills…
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Averting and Countering Online Hatred.
The authors explore the idea of enhancing current data with generative language models, lowering target imbalance, given the unparalleled skills…
The study focuses on identifying hate speech in two languages in YouTube comments and evaluating how incorporating more data from…
There is still much to learn about how the hatred target’s traits interact with the annotator’s. To close this gap,…
Browse and read from a list of the 255 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
This study examines how seven cutting-edge LLMs respond to hate speech: LLaMA 2, Vicuna, LLaMA 3, Mistral, GPT-3.5, GPT-4, and…
The study demonstrates the use of sophisticated text embedding techniques such as TF-IDF, CBOW, and GloVE, together with text pre-processing…
Browse and read from a list of the 180 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Browse and read from a list of the 245 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Browse and read from a list of the 170 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Browse and read from a list of the 275 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Unlike any other work that we are aware of, the study attempts to automatically detect hate speech using visual information…
There hasn’t been much research done on techniques for identifying HS in languages other than English, like Bengali. The survey…