Cyberbullying in Online/E-Learning Platforms Based on Social Networks

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Abstract

Cyberbullying is a method of harassment using electronic means and is very common among all, as the digital sphere has extended its technology. As school districts shut down in retort to COVID-19 and students are moving to E-learning, ever than before our children may be using most of the period in front of screens. Though the digital world is supporting us link and study more, it is also a situation where harmful behavior can be encountered. It is serious that we engross our children in dialogue to keep them protective and motivate them to be very vigilant with what they share online. To better safeguard your child, we wish you to study more about digital awareness, check your child’s screen time and online activities, comprehend and set settings related to privacy, and set rules with your child. Bullying is spiteful behavior that is aggressive, unwanted, and repeated. This can be verbal, social, physical, or online. They are acts of power and can directly cause guilt, sadness, shame, and anger. Bullying is not restricted to children; adults can also bully other adults or children. Cyberbullying is victimization that happens online and over digital devices. Cyberbullying examples comprise detestable or mean texts, social media posts envisioned to embarrassing or fake images, spread rumors, sexually explicit, or threatening direct messages. It is significant to take cyberbullying and bullying of any kind, seriously. Bullying can have a long-lasting effect on a child’s mental health, relationships, and confidence. It can distress their capability to focus on academics and extracurricular happenings. And, it can also cause a child to make to bullying others, as a technique to get control back and feel like they have power again. In social media where bigger communication opportunities are offered, they even enhance the defenselessness for many people in the form of threatening online with the messages, images, and so on. In recent studies, cyberbullying constitutes a growing problem among youngsters, teenagers, and school students. To avoid such situation, an intelligent system is required for the identification of these threats automatically. The chapter mainly focuses on the types of cyberbullying, followed by case studies in which we discuss about the automatic detection of cyberbullying in online learning/E-learning platform based on social network. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Year of Conference
2022
Conference Name
Lecture Notes in Networks and Systems
Volume
334
Number of Pages
227-240,
Publisher
Springer Science and Business Media Deutschland GmbH
ISBN Number
23673370 (ISSN); 978-981166368-0 (ISBN)
DOI
10.1007/978-981-16-6369-7_20
Conference Proceedings
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