CYBERBULLYING DETECTION SYSTEM ON TWITTER
Poster Number
9A
Introduction/Abstract
Cyberbullying is a type of harassment that takes place social networking sites which enable the cyberbullies to execute their crime on the vulnerable victims and this serious offense in cyber world has resulted in death
Purpose
Current cyberbullying studies highlighted issues such as the high volume of cyberbullying incidents in school, increased personal information disclosure on social media, peer influences and the safety of the school environment for both bully and victim. Studies focusing on cyberbullying risk factors raised debates on factors such as whether males or females are most likely to be victims/cyberbullies.
Method
I will be using text processing and use different classification models to test the accuracy of the model.
Results
These results will help to create a model which flags tweets whether they are considered under cyberbullying. This model can help filter multiple tweets and may help cyber security to identify the accounts and may suspend them
Significance
This implementation of this system, the cyberbullying awareness can be raised across the country and across the social platform, i.e. Twitter, which is extensively used by the communities today.
Location
William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211
Format
Poster Presentation
Poster Session
Afternoon
CYBERBULLYING DETECTION SYSTEM ON TWITTER
William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211
Cyberbullying is a type of harassment that takes place social networking sites which enable the cyberbullies to execute their crime on the vulnerable victims and this serious offense in cyber world has resulted in death
