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A survey of hate speech detection in Indian languages
With the enormous increase in accessibility of high-speed internet, the number of social media users is increasing rapidly. Due to a lack of proper...
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Enhancing hate speech detection with user characteristics
Social media provide users with a powerful platform to share their ideas. Using one’s right to expression to incite hate toward a particular group of...
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Map** the terrain of hate: identifying and analyzing online communities and political parties engaged in hate speech against Muslims and LGBTQ+ communities
This study investigates the impact of X on political discourse and hate speech in Finland, focusing on Muslim and LGBTQ+ communities from 2018 to...
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Bias Mitigation for Capturing Potentially Illegal Hate Speech
Hate speech is a persistent issue in social media. Researchers have analyzed and developed detection methods for hate speech on the basis of example...
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NDDSM: Novel Deep Decision-Support Model for Hate Speech Detection
The pervasiveness of social media in people's lives is indisputable, the issue where it has become a necessary part of daily practices. However,...
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Ebola optimization based spiking neural network for automatic hate speech recognition
In this paper, efficient machine learning technique is introduced to develop efficient machine learning model for hate speech recognition from the...
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Hate Speech Prediction on Social Media
In order to stop hate speech spreaders on social media, researchers started develo** machine learning systems that automatically detect hate...
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Deep feature fusion for hate speech detection: a transfer learning approach
Social platforms are receiving many posts from the hate speech category. These social posts affect societal order and impact the reader’s mental and...
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Merging public health and automated approaches to address online hate speech
The COVID-19 pandemic sparked a rise in misinformation from various media sources, which contributed to the heightened severity of hate speech. The...
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arHateDetector: detection of hate speech from standard and dialectal Arabic Tweets
Hate speech has become a phenomenon on social media platforms, such as Twitter. These websites and apps that were initially designed to facilitate...
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HateDetector: Multilingual technique for the analysis and detection of online hate speech in social networks
With the proliferation of social media platforms that provide anonymity, easy access, and the establishment of online communities and discussion,...
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Unsupervised fine-grained hate speech target community detection and characterisation on social media
Recent studies have highlighted the importance to reach a fine-grained online hate speech characterisation to better understand how hate is conveyed,...
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A literature survey on multimodal and multilingual automatic hate speech identification
Social media is a more common and powerful platform for communication to share views about any topic or article, which consequently leads to...
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A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions
In recent years, social media has witnessed an exponential growth in promoting healthy relationships and communication between family, friends, and...
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Hate speech recognition in multilingual text: hinglish documents
The Internet is a boon for mankind but its misuse has been increasing drastically. Social networking platforms such as Facebook, Twitter and...
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An approach to automatic classification of hate speech in sports domain on social media
Hate Speech encompasses different forms of trolling, bullying, harassment, and threats directed against specific individuals or groups. This...
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The effect of gender bias on hate speech detection
Hate speech against individuals or communities with different backgrounds is a major problem in online social networks. The domain of hate speech has...
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Towards more robust hate speech detection: using social context and user data
In this paper, we present a novel approach to detecting hate speech on Twitter. Our method incorporates textual, social context and language features...
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An approach of data augmentation to improve the performance of BERTology models for Vietnamese hate speech detection
Hate speech detection on social media networks is the classification task that automatically detects harmful comments from users and prevents the...
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Detecting hate speech in memes: a review
Methods that detect hate speech in memes have become vital in our connected society, especially in the context of many social media companies. Memes...
