Detection and moderation of detrimental content on social media platforms: current status and future directions

VU Gongane, MV Munot, AD Anuse - Social Network Analysis and Mining, 2022 - Springer
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 …

[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models

M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
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 …

[HTML][HTML] BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection

S Khan, M Fazil, VK Sejwal, MA Alshara… - Journal of King Saud …, 2022 - Elsevier
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 …

[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance

BR Chakravarthi, A Hande, R Ponnusamy… - International Journal of …, 2022 - Elsevier
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 …

Hate speech and offensive language detection in Dravidian languages using deep ensemble framework

PK Roy, S Bhawal, CN Subalalitha - Computer Speech & Language, 2022 - Elsevier
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 …

HCovBi-caps: hate speech detection using convolutional and Bi-directional gated recurrent unit with Capsule network

S Khan, A Kamal, M Fazil, MA Alshara, VK Sejwal… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection

EY Daraghmi, S Qadan, Y Daraghmi, R Yussuf… - IEEE …, 2024 - ieeexplore.ieee.org
Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …

Attentional multi-channel convolution with bidirectional LSTM cell toward hate speech prediction

M Fazil, S Khan, BM Albahlal, RM Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …