[HTML][HTML] Session-based cyberbullying detection in social media: A survey
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …
through a social media session. By investigating cyberbullying perpetrated through social …
A comprehensive review of cyberbullying-related content classification in online social media
TH Teng, KD Varathan, F Crestani - Expert Systems with Applications, 2024 - Elsevier
The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …
that are essential to human life, catalyzing social networking growth. However, this …
Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm
The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
Cyberbullying identification system based deep learning algorithms
Cyberbullying is characterized by deliberate and sustained peer aggression, as well as a
power differential between the victim and the perpetrators or abusers. Cyberbullying can …
power differential between the victim and the perpetrators or abusers. Cyberbullying can …
Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches
TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …
communication. However, cyberbullying on the platform had detrimental ramifications. The …
Performance analysis of transformer-based architectures and their ensembles to detect trait-based cyberbullying
The influence of social media is one of the most dominating characteristics of the current era,
and this has led cyberbullying to grow into a more serious social issue. As a result …
and this has led cyberbullying to grow into a more serious social issue. As a result …
AI-driven disinformation: a framework for organizational preparation and response
E Karinshak, Y Jin - Journal of Communication Management, 2023 - emerald.com
Purpose Disinformation, false information designed with the intention to mislead, can
significantly damage organizational operation and reputation, interfering with …
significantly damage organizational operation and reputation, interfering with …
A deep analysis of textual features based cyberbullying detection using machine learning
MI Mahmud, M Mamun… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Today's internet advancements boost our electronic connectivity to one another through the
use of social media platforms. Using social media has facilitated us in many ways, but it has …
use of social media platforms. Using social media has facilitated us in many ways, but it has …
[HTML][HTML] Bias and cyberbullying detection and data generation using transformer artificial intelligence models and top large language models
Despite significant advancements in Artificial Intelligence (AI) and Large Language Models
(LLMs), detecting and mitigating bias remains a critical challenge, particularly on social …
(LLMs), detecting and mitigating bias remains a critical challenge, particularly on social …
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying
AF Alqahtani, M Ilyas - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
The impact of communication through social media is currently considered a significant
social issue. This issue can lead to inappropriate behavior using social media, which is …
social issue. This issue can lead to inappropriate behavior using social media, which is …