Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
A Mobile-Based System for Preventing Online Abuse and Cyberbullying
Semiu Salawu
*
, Jo Lumsden, Yulan He
*
Corresponding author for this work
Aston STEM Education Centre
Computer Science Research Group
College of Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A Mobile-Based System for Preventing Online Abuse and Cyberbullying'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Online Abuse
100%
Cyberbullying
100%
Mobile-based System
100%
Young People
28%
Machine Learning Models
28%
Social Media
28%
Training Data
14%
Educators
14%
Freely Available
14%
Negative Consequences
14%
Mental Health Professionals
14%
Additional Training
14%
Mobile Application
14%
New Homes
14%
Online Social Networks
14%
Online Training
14%
Tweets
14%
Classifier Training
14%
Automated Detection
14%
Law Enforcement
14%
User-centered Design
14%
Impact-based
14%
Offensive Words
14%
Google Play Store
14%
Cyberbully
14%
Abuse Detection
14%
Personalized Classifier
14%
Computer Science
Cyberbullying
100%
Machine Learning
50%
Training Data
25%
Learning System
25%
Negative Consequence
25%
Mobile Application
25%
Online Social Networks
25%
User-Centered Design
25%
Mental Health Professional
25%