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Predictors of Workplace Bullying and Cyber-Bullying in New Zealand [PDF]

open access: yesInternational Journal of Environmental Research and Public Health, 2016
Background: The negative effects of in-person workplace bullying (WB) are well established. Less is known about cyber-bullying (CB), in which negative behaviours are mediated by technology. Drawing on the conservation of resources theory, the current research examined how individual and organisational factors were related to WB and CB at two time ...
Dianne Gardner   +2 more
exaly   +7 more sources

Sibling, Peer, and Cyber Bullying Among Children and Adolescents: Co-occurrence and Implications for Their Adjustment [PDF]

open access: yesFrontiers in Psychology, 2021
Bullying across the sibling, peer, and cyber context has consistently been associated with a range of long-term health and well-being consequences for children and adolescents.
Slava Dantchev, Martina Zemp
doaj   +2 more sources

Submissive Behavior and Cyber Bullying: A Study on the Mediator Roles of Cyber Victimization and Moral Disengagement [PDF]

open access: yesPsychologica Belgica, 2020
In order to prevent cyberbullying and cyber-victim behaviors that are very common among adolescents, it is important to investigate the factors that underlie these behaviors.
Bahtiyar Eraslan-Çapan, Fuad Bakioğlu
doaj   +2 more sources

Do Positivity and Sensitivity to Cyber-Bullying Decrease Cyber-Bullying?

open access: yesActa Educationis Generalis, 2022
Introduction: The use of social media tools is increasing day by day. In addition to its positive use, social media tools are also used in the virtual environment to harm others. This harmful use is noted as cyber-bullying.
Peker Adem, Kasikci Furkan
doaj   +3 more sources

Associations between Chinese adolescents subjected to traditional and cyber bullying and suicidal ideation, self-harm and suicide attempts [PDF]

open access: yesBMC Psychiatry, 2019
Background The incidence of bullying is high among adolescents. Adolescents who were victims of bullying have a higher risk of self-harm and suicidal behavior than adolescents who were non-victims.
Zhekuan Peng   +6 more
doaj   +2 more sources

Cyber space bullying [PDF]

open access: yesTemida, 2009
Cyber space bullying is a relatively new phenomenon that has received increased attention by scientists, researchers and practitioners in recent years. It is usually defined as an intentionally and repeatedly expression of aggression towards other people
Popović-Ćitić Branislava
doaj   +3 more sources

The prevalence and association of traditional bullying and cyber bullying with mental health among adolescent and youth students in China: a study after the lifting of COVID-19 restrictions [PDF]

open access: yesBMC Public Health
Background Although bullying may affect students’ mental health, its prevalence and impact on mental health among students in China after the lifting of COVID-19 restrictions remains unclear. This study aimed to explored the prevalence and association of
Yu Wang   +12 more
doaj   +2 more sources

Cyber bullying prevention: intervention in Taiwan. [PDF]

open access: yesPLoS ONE, 2013
BackgroundThis study aimed to explore the effectiveness of the cyber bullying prevention WebQuest course implementation.Methodology/findingsThe study adopted the quasi-experimental design with two classes made up of a total of 61 junior high school ...
Ming-Shinn Lee   +3 more
doaj   +2 more sources

Cyberbullying and Traditional Bullying in Greece: An Empirical Study [PDF]

open access: yesSHS Web of Conferences, 2021
The use of Internet technology has changed the way people interact rendering face-to face and verbal communication a trend of the past. Thus, a new world has been created for young people, who send emails, visit websites, use webcams, chat rooms and ...
Papatsimouli Maria   +6 more
doaj   +1 more source

Cyber Bullying

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Cyberbullying involves the use of cell phones or social networking platforms like Facebook and Twitter to harass, threaten, or intimidate individuals, adversely impacting their mental health. Our project focuses on the detection of such harmful commentsusing a machine learning algorithm, categorizing them into two severity levels: "low" and ...
Ms. Swapna S Banasode   +4 more
openaire   +2 more sources

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