Name
Abstract | ||
|---|---|---|
Today, misogyny and xenophobia are some of the most important social problems. With the increase in the use of social media, this feeling of hatred toward women and immigrants can be more easily expressed, and therefore it can have harmful effects on social media users. For this reason, it is important to develop systems capable of detecting hateful comments automatically. In this article, we analyze the hate speech in Spanish tweets against women and immigrants conducting classification experiments using different approaches. Moreover, we create appropriate language resources for hate speech detection in Spanish.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3369869 | ACM Transactions on Internet Technology |
Keywords | DocType | Volume |
Misogyny detection,classifier ensemble,hate speech classification,lexicon,machine learning,social media,text mining,xenophobia detection | Journal | 20 |
Issue | ISSN | Citations |
2 | 1533-5399 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Flor-Miriam Plaza-Del-Arco | 1 | 1 | 0.35 |
| M. Dolores Molina-González | 2 | 50 | 8.18 |
| Luis Alfonso Ureña López | 3 | 257 | 53.93 |
| Maite Martín-Valdivia | 4 | 25 | 6.80 |