نتایج جستجو برای: cyberbullying detection in arabic
تعداد نتایج: 17091727 فیلتر نتایج به سال:
Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Languageindependent tools exist as well, but are considered restrictive as they usually do not take into account specific language features. Detecting plagiarism in Arabic documents is particularly a challenging task because of the complex linguistic structure of A...
The negative effects and the continuation of cyberbullying seem to depend on the coping strategies the victims use. To assess their coping strategies, self-report questionnaires (SRQs) are used. However, these SRQs are often subject to several shortcomings: the (single and topological) categorizations used in SRQs do not always adequately differentiate among various coping responses, in additio...
Cyberbullying, harassment through the use of information and communication technology such as cell phones and the Internet, is an emerging phenomenon all around the world. Extensive research on aggression and bullying is guiding educators' understanding of cyberbullying. Yet the gap between the advancement in technology and the dearth of study on cyberbullying suggests that more research is nee...
Online social networking sites (SNS) are a ubiquitous platform for communication. However, SNS can provide opportunities for abuse and harassment, typically referred to as cyberbullying. The current study examined adolescent victims’ understanding of cyberbullying, the specific types of cyberbullying events experienced in SNS and the impact of these events. Twenty-five adolescents (15–24 years ...
This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expect...
OBJECTIVE To explore the types, prevalence and associated variables of cyberbullying among students with intellectual and developmental disability attending special education settings. METHODS Students (n = 114) with intellectual and developmental disability who were between 12-19 years of age completed a questionnaire containing questions related to bullying and victimization via the interne...
The current study examined the self-reported prevalence and nature of cyberbullying and victimization among second, third, and fourth grade students (N=372) and explored associated features of home and school life. Of the children in the current sample, 27 percent had been victims of cyberbullying, 18 percent had been aggressors, and 15 percent had been both cyberbullies and victims. Boys were ...
The chapter considers cyberbullying in relation to Internet safety, concentrating on recent, high quality empirical studies. The review discusses conventional debates over how to define cyberbullying, arguing to limit the term to repeated, electronically-mediated incidents involving intention to harm and a power imbalance between bully and victim. It also takes note of the critical perspective ...
Hebrew and Arabic are Semitic languages with a similar morphological structure and orthographies that differ in visual complexity. Two experiments explored the interaction of the characteristics of orthography and hemispheric abilities on lateralized versions of a letter-matching task (Experiment 1) and a global-local task (Experiment 2). In Experiment 1, native Hebrew readers and native Arabic...
Sentiment analysis aims at extracting sentiment embedded mainly in text reviews. The prevalence of semantic web technologies has encouraged users of the web to become authors as well as readers. People write on a wide range of topics. These writings embed valuable information for organizations and industries. This paper introduces a novel framework for sentiment detection in Arabic tweets. The ...
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