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…
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 Office of Juvenile Justice and Delinquency Prevention (OJJDP) is preventing adolescent hate crimes and identity-based bullying in part with…
The legal phrase “hate crime” is broad and includes a wide range of motivations, offenders, victims, behaviors, and consequences. A…
The Digital Services Act (DSA), one of the most recent legislative initiatives in Europe, addresses the spread of harmful information…
Women face major obstacles when trying to participate in public and political life throughout Asia and the Pacific. Women’s political…
Hate speech and hate crimes are illegal under EU law, but only insofar as they are motivated by a specific…
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,…