Detection and moderation of detrimental content on social media platforms: current status and future directions
Social Media has become a vital component of every individual's life in society opening a
preferred spectrum of virtual communication which provides an individual with a freedom to …
preferred spectrum of virtual communication which provides an individual with a freedom to …
[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
[HTML][HTML] BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection
Online social networks (OSNs) face the challenging problem of hate speech, which should
be moderated for the growth of OSNs. The machine learning approaches dominate the …
be moderated for the growth of OSNs. The machine learning approaches dominate the …
[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …
gay, transgender or bisexual people. Studies have shown that these individuals were more …
Hate speech and offensive language detection in Dravidian languages using deep ensemble framework
Social networking platforms gained widespread popularity and are used for various activities
like: promoting products, sharing news, achievements and many more. On the other hand, it …
like: promoting products, sharing news, achievements and many more. On the other hand, it …
HCovBi-caps: hate speech detection using convolutional and Bi-directional gated recurrent unit with Capsule network
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 …
technology and online social media in the form of novel security threats, such as fake …
From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection
Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …
Attentional multi-channel convolution with bidirectional LSTM cell toward hate speech prediction
Online social networks (OSNs) facilitate their users in real-time communication but also
open the door for several challenging problems like hate speech and fake news. This study …
open the door for several challenging problems like hate speech and fake news. This study …
Novel hate speech detection using word cloud visualization and ensemble learning coupled with count vectorizer
T Turki, SS Roy - Applied Sciences, 2022 - mdpi.com
A plethora of negative behavioural activities have recently been found in social media.
Incidents such as trolling and hate speech on social media, especially on Twitter, have …
Incidents such as trolling and hate speech on social media, especially on Twitter, have …
An application to detect cyberbullying using machine learning and deep learning techniques
M Raj, S Singh, K Solanki, R Selvanambi - SN computer science, 2022 - Springer
Nowadays, a lot of people indulge themselves in the world of social media. With the current
pandemic scenario, this engagement has only increased as people often rely on social …
pandemic scenario, this engagement has only increased as people often rely on social …