Cargando…
Hate speech and abusive language detection in Indonesian social media: Progress and challenges
Nowadays Hate Speech and Abusive Language (HSAL) have spread extensively over social media. The easy use of social media allows people to abuse the media to spread HSAL. Hate speech and abusive language in social media must be detected because they can trigger conflict among citizens. Not only in so...
Autores principales: | Ibrohim, Muhammad Okky, Budi, Indra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447929/ https://www.ncbi.nlm.nih.gov/pubmed/37636475 http://dx.doi.org/10.1016/j.heliyon.2023.e18647 |
Ejemplares similares
-
Moralized language predicts hate speech on social media
por: Solovev, Kirill, et al.
Publicado: (2022) -
Hate speech detection: Challenges and solutions
por: MacAvaney, Sean, et al.
Publicado: (2019) -
A curated dataset for hate speech detection on social media text
por: Mody, Devansh, et al.
Publicado: (2022) -
The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring
por: Laaksonen, Salla-Maaria, et al.
Publicado: (2020) -
Hate speech detection and racial bias mitigation in social media based on BERT model
por: Mozafari, Marzieh, et al.
Publicado: (2020)