[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 multichannel deep learning framework for cyberbullying detection on social media
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
Mitigating bias in session-based cyberbullying detection: A non-compromising approach
The element of repetition in cyberbullying behavior has directed recent computational
studies toward detecting cyberbullying based on a social media session. In contrast to a …
studies toward detecting cyberbullying based on a social media session. In contrast to a …
Improving cyberbullying detection with user interaction
Cyberbullying, identified as intended and repeated online bullying behavior, has become
increasingly prevalent in the past few decades. Despite the significant progress made thus …
increasingly prevalent in the past few decades. Despite the significant progress made thus …
Modeling temporal patterns of cyberbullying detection with hierarchical attention networks
Cyberbullying is rapidly becoming one of the most serious online risks for adolescents. This
has motivated work on machine learning methods to automate the process of cyberbullying …
has motivated work on machine learning methods to automate the process of cyberbullying …
Artificial intelligence to address cyberbullying, harassment and abuse: new directions in the midst of complexity
This brief article serves as an introductory piece for the special issue “The Use of Artificial
Intelligence (AI) to Address Online Bullying and Abuse.” It provides an overview of the state …
Intelligence (AI) to Address Online Bullying and Abuse.” It provides an overview of the state …
Mtbullygnn: a graph neural network-based multitask framework for cyberbullying detection
Cyberbullying is a malady of social media, and its automatic detection is critically important
considering its virulence, velocity of spreading, and the scale of the havoc it can wreak …
considering its virulence, velocity of spreading, and the scale of the havoc it can wreak …
Detection of harassment type of cyberbullying: A dictionary of approach words and its impact
The purpose of this paper is to analyse the effects of predatory approach words in the
detection of cyberbullying and to propose a mechanism of generating a dictionary of such …
detection of cyberbullying and to propose a mechanism of generating a dictionary of such …
Cyberbullying and cyberviolence detection: A triangular user-activity-content view
Recent years have witnessed the increasing popularity of mobile and networking devices,
as well as social networking sites, where users engage in a variety of activities in the …
as well as social networking sites, where users engage in a variety of activities in the …
FedBully: a cross-device federated approach for privacy enabled cyber bullying detection using sentence encoders
NP Shetty, B Muniyal… - Journal of Cyber …, 2023 - journals.riverpublishers.com
Cyberbullying has become one of the most pressing concerns for online platforms, putting
individuals at risk and raising severe public concerns. Recent studies have shown a …
individuals at risk and raising severe public concerns. Recent studies have shown a …