Abstract
Cyberbullying is a global problem affecting many people, especially children and teenagers. This phenomenon is common in many countries, causing psychological, emotional and social damage to its victims. Technologies such as social media and mobile apps exacerbate the problem by providing a platform for anonymous attacks. To resist cyberbullying, many organizations and governments are taking action, from zero-tolerance policies to legislative initiatives. Awareness raising and education also play a key role. At the forefront of the fight against cyberbullying is the development of neural networks that can automatically detect and block toxic content online. This article describes the main stages of training a neural network and creating an information technology based on it to protect people from such a phenomenon as cyberbullying.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
