A systematic review of hate speech automatic detection using natural language processing

A Literature Review of Textual Hate Speech Detection Methods and Datasets

(2022) Fatimah Alkomah et al.   Information (Switzerland)

Comment Toxicity Detection via a Multichannel Convolutional Bidirectional Gated Recurrent Unit

(2021) Ashok Kumar J et al.   NEUROCOMPUTING

Towards generalisable hate speech detection: a review on obstacles and solutions

(2021) Wenjie Yin et al.   PeerJ Computer Science

A deep neural network based multi-task learning approach to hate speech detection

(2020) Prashant Kapil et al.   KNOWLEDGE-BASED SYSTEMS

Directions in abusive language training data, a systematic review: Garbage in, garbage out

(2020) Bertie Vidgen et al.   PLoS One

TWilBert: Pre-trained deep bidirectional transformers for Spanish Twitter

(2020) José Ángel González et al.   NEUROCOMPUTING

Hate Speech on Twitter: A Pragmatic Approach to Collect Hateful and Offensive Expressions and Perform Hate Speech Detection

(2018) Hajime Watanabe et al.   IEEE Access

A Survey on Automatic Detection of Hate Speech in Text

(2018) Paula Fortuna et al.   ACM COMPUTING SURVEYS

Effective hate-speech detection in Twitter data using recurrent neural networks

(2018) Georgios K. Pitsilis et al.   APPLIED INTELLIGENCE

Hate speech detection: A solved problem? The challenging case of long tail on Twitter

(2018) Ziqi Zhang et al.   Semantic Web

Challenges in discriminating profanity from hate speech

(2017) Shervin Malmasi et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE