Proceedings ArticleDOI
Automatic Detection of Hate Speech on Facebook Using Sentiment and Emotion Analysis
Axel Rodriguez,Carlos Argueta,Yi-Ling Chen +2 more
- pp 169-174
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TLDR
A novel framework to effectively detect highly discussed topics that generate hate speech on Facebook is explored with the use of graph, sentiment, and emotion analysis techniques and is able to identify the pages that promote hate speech in the comment sections regarding sensitive topics automatically.Abstract:
Hate speech has been an issue since the start of the Internet, but the advent of social media has brought it to unimaginable heights. To address such an important issue, in this paper, we explore a novel framework to effectively detect highly discussed topics that generate hate speech on Facebook. With the use of graph, sentiment, and emotion analysis techniques, we cluster and analyze posts on prominent Facebook pages. Consequently, the proposed framework is able to identify the pages that promote hate speech in the comment sections regarding sensitive topics automatically.read more
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Journal ArticleDOI
Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A Review
TL;DR: In this paper, a review of machine learning (ML) algorithms and techniques for hate speech detection in social media (SM) is presented, which includes classical ML, ensemble approach and deep learning methods.
Journal ArticleDOI
A Multi-Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis
Flor Miriam Plaza-del-Arco,M. Dolores Molina-González,L. Alfonso Ureña-López,María Teresa Martín-Valdivia +3 more
TL;DR: In this paper, the authors proposed a multi-task approach that leverages the shared affective knowledge to detect hate speech in Spanish tweets, using a well-known Transformer-based model.
Journal ArticleDOI
To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
TL;DR: This work proposes a Bayesian method using Monte Carlo dropout within the attention layers of the transformer models to provide well-calibrated reliability estimates and tests whether affective dimensions can enhance the information extracted by the BERT model in hate speech classification.
Journal ArticleDOI
Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers
José Antonio García-Díaz,Salud María Jiménez-Zafra,Miguel A. García-Cumbreras,Rafael Valencia-García +3 more
TL;DR: In this article , the authors examine which features are most effective in identifying hate-speech in Spanish and how these features can be combined to develop more accurate systems, and characterize the language present in each type of hatespeech by means of explainable linguistic features and compare their results with state of the art approaches.
References
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Proceedings Article
VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text
Clayton J. Hutto,Eric Gilbert +1 more
TL;DR: Interestingly, using the authors' parsimonious rule-based model to assess the sentiment of tweets, it is found that VADER outperforms individual human raters, and generalizes more favorably across contexts than any of their benchmarks.
Hate Me, Hate Me Not: Hate Speech Detection on Facebook.
TL;DR: This work proposes a variety of hate categories and designs and implements two classifiers for the Italian language, based on different learning algorithms: the first based on Support Vector Machines (SVM) and the second on a particular Recurrent Neural Network named Long Short Term Memory (LSTM).
Journal Article
Hate Speech and Covert Discrimination on Social Media: Monitoring the Facebook Pages of Extreme-Right Political Parties in Spain
TL;DR: In this paper, the authors consider the ways that overt hate speech and covert discriminatory practices circulate on Facebook despite its official policy that prohibits hate speech, and they argue that hate speech is not only explained by users' motivations and actions, but also formed by a network of ties between the platform's policy, its technological affordances, and the communicative acts of its users.
Hate speech and covert discrimination on social media: Monitoring the Facebook pages of extreme-right political parties in Spain
TL;DR: In this article, the authors consider the ways that overt hate speech and covert discriminatory practices circulate on Facebook despite its official policy that prohibits hate speech, and they argue that hate speech is not only explained by users' motivations and actions, but also formed by a network of ties between the platform's policy, its technological affordances, and the communicative acts of its users.
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