With the proliferation of social media platforms that provide anonymity, easy access, online community development, and online debate, detecting and tracking hate speech has …
S Parker, D Ruths - … of the National Academy of Sciences, 2023 - National Acad Sciences
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 …
R Gupta, S Desai, M Goel, A Bandhakavi… - arXiv preprint arXiv …, 2023 - arxiv.org
Counterspeech has been demonstrated to be an efficacious approach for combating hate speech. While various conventional and controlled approaches have been studied in recent …
A Velankar, H Patil, R Joshi - arXiv preprint arXiv:2209.05294, 2022 - arxiv.org
The spread of hate speech on social media space is currently a serious issue. The undemanding access to the enormous amount of information being generated on these …
Social media is awash with hateful content, much of which is often veiled with linguistic and topical diversity. The benchmark datasets used for hate speech detection do not account for …
This paper proposes a multi-channel convolutional neural network (MC-CNN) for classifying memes and non-memes. Our architecture is trained and validated on a challenging dataset …
This article provides an overview of a shared task to identify contextual hate speech in social media conversations. This task intends to analyze how context within a conversation in …
Hate Speech Detection in Arabic presents a multifaceted challenge due to the broad and diverse linguistic terrain. With its multiple dialects and rich cultural subtleties, Arabic requires …
Social media has emerged as a widespread phenomenon, with numerous users engaging in observing, creating, and distributing content. The growing content has led to user conflicts …