نتایج جستجو برای: cyberbullying detection in arabic
تعداد نتایج: 17091727 فیلتر نتایج به سال:
Cyberbullying is a relatively new form of bullying, with both similarities and differences to traditional bullying. While earlier research has examined associations between school-contextual characteristics and traditional bullying, fewer studies have focused on the links to students' involvement in cyberbullying behavior. The aim of the present study is to assess whether school-contextual cond...
Bullying and cyberbullying have severe psychological and legal consequences for those involved. However, it is unclear how or even if previous experience of bullying and cyberbullying is considered in mental health assessments. Furthermore, the relevance and effectiveness of current legal solutions has been debated extensively, resulting in a desire for a specific legislation. The purpose of th...
Data Mining Regarding Cyberbullying in the Arabic Language on Instagram Using KNIME and Orange Tools
This paper deals with data mining on verbal bullying by Instagram users. It tracks people who repeatedly have abusive behavior and may cause harm to other persons or groups. In this work, a dataset holding in the Arabic language was extracted from comments, entries were classified as regular suspicious bullying. KINIME Orange open source tools utilized discover comments that involved delete pre...
Cyberbullying is a new form of violence that is expressed through electronic media and has given rise to concern for parents, educators and researchers. In this paper, an association between cyberbullying and adolescent mental health will be assessed through a systematic review of two databases: PubMed and Virtual Health Library (BVS). The prevalence of cyberbullying ranged from 6.5% to 35.4%. ...
We present our correction annotation guidelines to create a manually corrected nonnative (L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus and its manual corrections, to include manually corrected non-native Arabic learner essays. Our overarching goal is to use the annotated corpus to develop components for automatic detection and correction of language er...
Psychosocial risk factors associated with cyberbullying among adolescents: a population-based study.
CONTEXT To our knowledge, no population study examining psychosocial and psychiatric risk factors associated with cyberbullying among adolescents exists. OBJECTIVE To study cross-sectional associations between cyberbullying and psychiatric and psychosomatic problems among adolescents. DESIGN Population-based cross-sectional study. SETTING Finland. PARTICIPANTS The sample consists of 221...
BACKGROUND Bullying and cyberbullying are common phenomena in schools. These negative behaviours can have a significant impact on the health and particularly mental health of those involved in such behaviours, both as victims and as bullies. This UK study aims to investigate student-level and school-level characteristics of those who become involved in bullying and cyberbullying behaviours as v...
The smartphone is an excellent source of data; it possible to extrapolate sensor values and, through Machine Learning approaches, perform anomaly detection analysis characterized by human behavior. This work exploits Human Activity Recognition (HAR) models and techniques identify activity performed while filling out a questionnaire via application, which aims classify users as Bullying, Cyberbu...
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