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Found 7 papers, 3 papers with code
MIN_PT: An European Portuguese Lexicon for Minorities Related Terms
Hate speech-related lexicons have been proved to be useful for many tasks such as data collection and classification.
Targets and Aspects in Social Media Hate Speech
Mainstream research on hate speech focused so far predominantly on the task of classifying mainly social media posts with respect to predefined typologies of rather coarse-grained hate speech categories.
Cartography of Natural Language Processing for Social Good (NLP4SG): Searching for Definitions, Statistics and White Spots
Based on a list of keywords retrieved from the literature and revised in view of the task, we select from this corpus articles that can be considered to be on NLP4SG according to our definition and analyze them in terms of trends along the time line, etc.
Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets
The field of the automatic detection of hate speech and related concepts has raised a lot of interest in the last years.
A Hierarchically-Labeled Portuguese Hate Speech Dataset
Firstly, non-experts annotated the tweets with binary labels ({`}hate{'} vs. {`}no-hate{'}).
Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible?
This paper summarizes the participation of Stop PropagHate team at SemEval 2019.
Merging Datasets for Aggressive Text Identification
Regarding these, we merged two datasets, and the results showed that training with similar data is an advantage in the classification of social networks data.
