نتایج جستجو برای: Cyberbullying Detection in Arabic

تعداد نتایج: 17091727  

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

Journal: :Computer systems science and engineering 2022

Due to the proliferation of internet-enabled smartphones, many people, particularly young people in Arabic society, have widely adopted social media platforms as a primary means communication, interaction and friendship making. The technological advances smartphones communication enabled keep touch form huge networks from all over world. However, such expose cyberbullying offensive content that...

پایان نامه :دانشگاه رازی - کرمانشاه - دانشکده ادبیات و علوم انسانی 1393

in recent years, there has been a growing interest among researchers to investigate the relationship betweenteacher self-efficacy and classroom behavior management, especially students misbehavior. therefore, this study aimed to comparatively investigate english and arabic teachers’ use of different behavior managementstrategies, their self-efficacy, and their success in an iranian context. th...

Journal: :International Journal of Information Technology and Computer Science 2021

Broadly cyberbullying is viewed as a severe social danger that influences many individuals around the globe, particularly young people and teenagers. The Arabic world has embraced technology continues using it in different ways to communicate inside media platforms. However, text drawbacks for its complexity, challenges, scarcity of resources. This paper investigates several questions related c...

Journal: :Advances in Science, Technology and Engineering Systems Journal 2017

2013
Maral Dadvar Dolf Trieschnigg Roeland Ordelman Franciska de Jong

The negative consequences of cyberbullying are becoming more alarming every day and technical solutions that allow for taking appropriate action by means of automated detection are still very limited. Up until now, studies on cyberbullying detection have focused on individual comments only, disregarding context such as users’ characteristics and profile information. In this paper we show that t...

Journal: :Machine learning and knowledge extraction 2023

The advancement of technology has paved the way for a new type bullying, which often leads to negative stigma in social setting. Cyberbullying is cybercrime wherein one individual becomes target harassment and hatred. It recently become more prevalent due rise usage media platforms, and, some severe situations, it even led victims’ suicides. In literature, several cyberbullying detection method...

2015
Cynthia Van Hee Els Lefever Ben Verhoeven Julie Mennes Bart Desmet Guy De Pauw Walter Daelemans Véronique Hoste

In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, negative experiences can have a serious impact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we focus on cyberbullying as a particular form of cybervictimization and explore its automatic ...

Journal: :Psicothema 2012
Heidi Vandebosch Luc Beirens Wim D'Haese Denis Wegge Sara Pabian

Research shows that cyberbullying is a common phenomenon amongst youngsters, with potentially severe negative effects. Besides students, parents, schools, and Internet Service Providers, the police have been identified as an important actor in approaches against cyberbullying. Departing from the situation in Belgium, this article describes how the police can: help to prevent cyberbullying, by i...

Journal: :CoRR 2016
Rahat Ibn Rafiq Homa Hosseinmardi Richard Han Qin Lv Shivakant Mishra

Cyberbullying in online social networks has become a critical problem, especially among teenagers who are social networks’ prolific users. As a result, researchers have focused on identifying distinguishing features of cyberbullying and developing techniques to automatically detect cyberbullying incidents. While this research has resulted in developing highly accurate classifiers, two key pract...

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