Hate speech detection in social media: Techniques, recent trends, and future challenges
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …
interest from researchers in hate speech detection, leading to an increase in related studies …
Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training
In contemporary society, the proliferation of online hateful messages has emerged as a
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
Causality guided disentanglement for cross-platform hate speech detection
espite their value in promoting open discourse, social media plat-forms are often exploited to
spread harmful content. Current deep learning and natural language processing models …
spread harmful content. Current deep learning and natural language processing models …
Bias-Based Cyberaggression Related To Origin, Religion, Sexual Orientation, Gender, and Weight: Systematic Review of Young People's Experiences, Risk and …
M Jaron Bedrosova, E Dufkova… - … Violence, & Abuse, 2025 - journals.sagepub.com
Bias-based cyberaggression—hateful and bias-based content and interactions via
information and communication technologies—is a frequent experience for young internet …
information and communication technologies—is a frequent experience for young internet …
Understanding customer behavior by mapping complaints to personality based on social media textual data
A Alamsyah, F Nadhila, NK Izumi - Data Technologies and …, 2024 - emerald.com
Purpose Technology serves as a key catalyst in shaping society and the economy,
significantly altering customer dynamics. Through a deep understanding of these evolving …
significantly altering customer dynamics. Through a deep understanding of these evolving …
Enhanced Feature Representation for Multimodal Fake News Detection Using Localized Fine-Tuning of Improved BERT and VGG-19 Models
The spread of fake news poses significant challenges across various sectors, including
health, the economy, politics, and national stability. Social media and modern technology …
health, the economy, politics, and national stability. Social media and modern technology …
So-haTRed: A novel hybrid system for Turkish Hate Speech Detection in Social Media with Ensemble Deep Learning improved by BERT and clustered-Graph …
Hate speech on online platforms, characterized by discriminatory language targeting
individuals or groups, poses significant harm and necessitates robust detection methods for …
individuals or groups, poses significant harm and necessitates robust detection methods for …
Racists spreader is narcissistic; sexists is Machiavellian Influence of Psycho-Sociological Facets in hate-speech diffusion prediction
Hate speech pertains to the expression of negative emotions by people. The spread of hate
speech contributes to societal inequity by imposing adverse consequences on individuals' …
speech contributes to societal inequity by imposing adverse consequences on individuals' …
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
StopHC: A harmful content detection and mitigation architecture for social media platforms
CO Truică, AT Constantinescu… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
The mental health of social media users has started more and more to be put at risk by
harmful, hateful, and offensive content. In this paper, we propose STOPHC, a harmful …
harmful, hateful, and offensive content. In this paper, we propose STOPHC, a harmful …