Hate speech dataset annotated for Portuguese

Portuguese Hate Speech Twitter Dataset is a dataset of Twitter messages manually annotated for Hate Speech using a hierarchical structure of classes. 5,668 messages were collected on Twitter, from 1,156 distinct users and classified as containing hate speech using a hierarchical structure of classes. A multiclass and multilabel approach was considered. Two different formats of the dataset are provided, plus the hierarchy of classes. The text of the tweets is omitted in this dataset due to the conditions and terms of the Twitter API.

Data and Resources

Additional Info

Field Value
Author Paula Fortuna
Version 2.0
Last Updated November 15, 2018, 10:40 (Europe/Lisbon)
Created July 26, 2017, 14:10 (Europe/Lisbon)
DOI http://doi.org/10.23728/b2share.9005efe2d6be4293b63c3cffd4cf193e
dc.Coverage.Temporal 8 to 9 March 2017
dc.Date 9 of March 2017
dc.Format *.csv
dc.Format.Extent 1,10MB
dc.Language PT
dc.Publisher INESC TEC
dc.Relation Master´s thesis: FORTUNA, Paula (2017). Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes. Porto: Faculdade de Engenharia da Universidade do Porto
dc.Type Tweets and classes taxonomy