An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing
Sign Up to like & getrecommendations! Published in 2022 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09845-6
Abstract: The dramatic growth of the Web has motivated researchers to extract knowledge from enormous repositories and to exploit the knowledge in myriad applications. In this study, we focus on natural language processing (NLP) and, more… read more here.
Keywords: sentic computing; speech detection; radicalization hate; hate speech ... See more keywords
Is hate speech detection the solution the world wants?
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2209384120
Abstract: The machine learning (ML) research community has landed on automated hate speech detection as the vital tool in the mitigation of bad behavior online. However, it is not clear that this is a widely supported… read more here.
Keywords: speech; world; speech detection; detection solution ... See more keywords
Deep Learning Based Fusion Approach for Hate Speech Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009244
Abstract: In recent years, the increasing prevalence of hate speech in social media has been considered as a serious problem worldwide. Many governments and organizations have made significant investment in hate speech detection techniques, which have… read more here.
Keywords: hate; speech detection; classification; hate speech ... See more keywords
Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A Review
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DOI: 10.1109/access.2021.3089515
Abstract: The aim of this paper is to review machine learning (ML) algorithms and techniques for hate speech detection in social media (SM). Hate speech problem is normally model as a text classification task. In this… read more here.
Keywords: speech detection; machine learning; detection; hate speech ... See more keywords
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143799
Abstract: Adversaries and anti-social elements have exploited the rapid proliferation of computing technology and online social media in the form of novel security threats, such as fake profiles, hate speech, social bots, and rumors. The hate… read more here.
Keywords: performance; speech detection; hate speech; capsule ... See more keywords
Assessing the Impact of Contextual Information in Hate Speech Detection
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DOI: 10.1109/access.2023.3258973
Abstract: Social networks and other digital media deal with huge amounts of user-generated contents where hate speech has become a problematic more and more relevant. A great effort has been made to develop automatic tools for… read more here.
Keywords: speech detection; information; hate speech; speech ... See more keywords
MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3434664
Abstract: The rapid advancement of computer technology and the widespread adoption of online social media platforms have inadvertently provided fertile ground for individuals with antisocial inclinations to thrive, ushering in a range of security concerns, including… read more here.
Keywords: hate speech; model; speech detection; speech ... See more keywords
Fine-Grained Multilingual Hate Speech Detection Using Explainable AI and Transformers
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3470901
Abstract: The detection of hate speech on online platforms is essential for maintaining safe and inclusive digital environments. Although significant progress has been made in binary classification for hate speech detection, challenges persist in multilingual and… read more here.
Keywords: hate speech; hate; fine grained; speech detection ... See more keywords
Improving Hate Speech Detection Using Double-Layers Hybrid CNN-RNN Model on Imbalanced Dataset
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3487433
Abstract: Hate speech detection is crucial in curbing online toxicity and fostering a safer digital environment. Previous research has proposed the use of a hybrid CNN-RNN model for this purpose. This study aims to improve the… read more here.
Keywords: hybrid cnn; hate speech; cnn rnn; model ... See more keywords
Towards End-to-End Synthetic Speech Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3089437
Abstract: The constant Q transform (CQT) has been shown to be one of the most effective speech signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted (subband) constant Q cepstral coefficient (CQCC) feature extraction… read more here.
Keywords: speech detection; synthetic speech; end end; speech ... See more keywords
Synthetic Speech Detection Based on Local Autoregression and Variance Statistics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3183951
Abstract: With the development of speech synthesis technology, the existing synthetic speech detection (SSD) methods cannot generalize well for unknown synthesis algorithms. And thus, this kind of speech forensics task meets a great challenge and has… read more here.
Keywords: speech; speech detection; detection based; based local ... See more keywords