Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture
People increasingly use social media platforms to express themselves by posting visuals
and texts. As a result, hate content is on the rise, necessitating practical visual caption …
and texts. As a result, hate content is on the rise, necessitating practical visual caption …
Artificial Intelligence‐Based Approach for Misogyny and Sarcasm Detection from Arabic Texts
AY Muaad, H Jayappa Davanagere… - Computational …, 2022 - Wiley Online Library
Social media networking is a prominent topic in real life, particularly at the current moment.
The impact of comments has been investigated in several studies. Twitter, Facebook, and …
The impact of comments has been investigated in several studies. Twitter, Facebook, and …
Persian offensive language detection
With the proliferation of social networks and their impact on human life, one of the rising
problems in this environment is the rise in verbal and written insults and hatred. As one of …
problems in this environment is the rise in verbal and written insults and hatred. As one of …
Combining fasttext and glove word embedding for offensive and hate speech text detection
Over the past decade, increased use of social media has led to an increase in hate content.
To address this issue new solutions must be implemented to filter out this kind of …
To address this issue new solutions must be implemented to filter out this kind of …
Arabic text detection: a survey of recent progress challenges and opportunities
The Arabic language plays a crucial role in the world after becoming the sixth official
language of the United Nations (UN). In the last ten years, there has been a rising growth in …
language of the United Nations (UN). In the last ten years, there has been a rising growth in …
[PDF][PDF] Addressing Challenges in Hate Speech Detection Using BERT-Based Models: A Review
JA Aljawazeri, MN Jasim - Iraqi Journal for Computer Science and …, 2024 - iasj.net
The rapid growth of social media platforms has led to an increase in hate speech. This has
prompted the development of effective detection mechanisms that aim to mitigate the …
prompted the development of effective detection mechanisms that aim to mitigate the …
Novel approach of Predicting Human Sentiment using Deep Learning
Due to its interactive and real-time character, gathering public opinion through the analysis
of massive social data has garnered considerable attention. Recent research have used …
of massive social data has garnered considerable attention. Recent research have used …
Toxicraft: A novel framework for synthetic generation of harmful information
In different NLP tasks, detecting harmful content is crucial for online environments,
especially with the growing influence of social media. However, previous research has two …
especially with the growing influence of social media. However, previous research has two …
Towards a benchmarking system for comparing automatic hate speech detection with an intelligent baseline proposal
Ș Dascălu, F Hristea - Mathematics, 2022 - mdpi.com
Hate Speech is a frequent problem occurring among Internet users. Recent regulations are
being discussed by UK representatives (“Online Safety Bill”) and by the European …
being discussed by UK representatives (“Online Safety Bill”) and by the European …
HyperHatePrompt: A Hypergraph-based Prompting Fusion Model for Multimodal Hate Detection
Multimodal hate detection aims to identify hate content across multiple modalities for
promoting a harmonious online environment. Despite promising progress, three critical …
promoting a harmonious online environment. Despite promising progress, three critical …