We present a robust methodology to distinguish bullies and aggressors from normal Twitter users by considering text, user, and network-based attributes. Using ...

Jul 20, 2019 · We present a robust methodology to distinguish bullies and aggressors from normal Twitter users by considering text, user, and network-based ...

In this survey paper, we define a framework that encapsulates four different steps session-based cyberbullying detection should go through.

Oct 21, 2019 · We present a robust methodology to distinguish bullies and aggressors from normal Twitter users by considering text, user, and network-based ...

Jul 20, 2019 · Cyberbullying and cyberaggression are increasingly worri- some phenomena affecting people across all demographics.

This study focuses on using combination of textual features to detect cyberbullying across social media platforms.

The objectives for this research are as follows: 1. To compare several different machine learning algorithms for the detection of cyberbullying in social media.

Recent work on cyberbullying detection relies on using machine learning models with text and metadata in small datasets, mostly drawn from single social ...

Sep 11, 2019 · The researchers developed algorithms to automatically classify two specific types of offensive online behavior, i.e., cyberbullying and ...

This study [19] built a model for detecting Cyber-bullying and Cyber-aggression in social media using the Machine. Learning Algorithm. Deep neural networks, as ...