2019
DOI: 10.1080/09291016.2019.1603839
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The effects of empathy and circadian preference on cyberbullying of adolescents in Turkey

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Cited by 9 publications
(15 citation statements)
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“…In terms of the risk factors associated with cyberbullying victimization at the personal level, many studies evidenced that females were more likely to be cyberbullied than males ( 13 , 26 , 29 , 38 , 43 , 52 , 54 , 55 , 58 ). Meanwhile, adolescents with mental health problems ( 61 ), such as depression ( 33 , 62 ), borderline personality disorder ( 63 ), eating disorders ( 41 ), sleep deprivation ( 56 ), and suicidal thoughts and suicide plans ( 64 ), were more likely to be associated with cyberbullying victimization. As for Internet usage, researchers agreed that youth victims were probably those that spent more time online than their counterparts ( 32 , 36 , 43 , 45 , 48 , 49 , 60 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In terms of the risk factors associated with cyberbullying victimization at the personal level, many studies evidenced that females were more likely to be cyberbullied than males ( 13 , 26 , 29 , 38 , 43 , 52 , 54 , 55 , 58 ). Meanwhile, adolescents with mental health problems ( 61 ), such as depression ( 33 , 62 ), borderline personality disorder ( 63 ), eating disorders ( 41 ), sleep deprivation ( 56 ), and suicidal thoughts and suicide plans ( 64 ), were more likely to be associated with cyberbullying victimization. As for Internet usage, researchers agreed that youth victims were probably those that spent more time online than their counterparts ( 32 , 36 , 43 , 45 , 48 , 49 , 60 ).…”
Section: Resultsmentioning
confidence: 99%
“…For cyberbullying perpetration, Alvarez-Garcia found that gender differences may have indirect effects on cyberbullying perpetration ( 55 ), while others disagreed ( 42 , 61 , 68 70 ). Specifically, some studies revealed that males were more likely to become cyberbullying perpetrators ( 34 , 39 , 56 ), while Khurana et al presented an opposite point of view, proposing that females were more likely to attack others ( 71 ). In terms of time spent on the Internet, some claimed that students who frequently surf the Internet had a higher chance of becoming perpetrators ( 49 ), while others stated that there was no clear and direct association between Internet usage and cyberbullying perpetration ( 55 ).…”
Section: Resultsmentioning
confidence: 99%
“…It is also likely that students with stronger social awareness may be more sensitive to their emotions, including negative emotions associated with CBV experiences, and thus are more likely to report frequent CBV (van Noorden et al, 2016). In contrast, some other studies have shown that lower empathy was associated with a higher risk of CBV among adolescents (Horzum et al, 2019;Pettalia et al, 2013). The seemingly inconsistent findings indicate that there might be a curvilinear relation between social awareness and CBV, which was not captured in the linear regression.…”
Section: Social Awarenessmentioning
confidence: 89%
“…The former is to use traditional machine learning methods to generate some candidate frames and perform feature extraction, and then use some common classifiers to complete the detection task. The latter is based on deep learning target detection method, which has strong feature extraction ability and learning ability, the disadvantage is that it contains a large number of parameters and complex levels, the training and learning process is timeconsuming, etc., so often need to use high-performance computing Platform and massive data sets to assist neural network learning and training [15]. The calculation process is shown in Figure 1.…”
Section: Overview Of Related Technologies a Screening Of Bad Information Based On Image Categorymentioning
confidence: 99%