Protect your future

Platform for Analysis and Detection of Cyberbullying Attempts in Twitter

About

Cyberbullying is bullying with the use of digital technologies. It can take place on social media, messaging platforms, gaming platforms and mobile phones. It is repeated behaviour, aimed at scaring, angering or shaming those who are targeted.

We offer a platform that includes report and notification service which will detect cyberbullying actions against kids and then provide reports and notifications to related parents in real-time through a mobile application. PADCAT Mobile application is very easy-to-use.

  • Create an Account on PADCAT
  • Add Child information
  • Subscribe to a child Twitter account
  • Monitor all activities related to child
  • Detect a cyberbullying event in real-time
  • Get notification in real-time

Media

Here you have some screenshots from our application

  • App
  • Video

Features

Real-time detection of cyberbullying-related events

Track specific users on social media

Real-time notification through mobile application

Customized and scheduled reports

Visualized statistics of children's social media activity

services

PADCAT has four main components which are Django REST API, MongoDB Database, Real-time Cyberbullying Detection Engine and Mobile Application. Real-time Cyberbullying Detection Engine is responsible for tracking specified social media accounts and detecting cyberbullied contents using Machine Learning and Natural Language Processing algorithms in real-time fashion. Classified data will be stored in the mongoDB for reporting purposes and it’ll be used to form visualized statistics. By this way, users will have a chance to access those visualized data via mobile application.

Design

Team

Assoc. Prof. Dr. Şeyda Ertekin

Supervisor

Furkan Taşbaşı

Software Developer

Abdülkadir Özer

Software Developer

Yılmaz Berkay Bat

Software Developer

Ahmet Bilal Akın

Software Developer