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1 ore common among adolescents in England than cyberbullying.
2 eillance System on experiencing bullying and cyberbullying.
3 adolescents from the harmful consequences of cyberbullying.
4 bullying and 96 (0.9%) reported perpetrating cyberbullying.
5 ators, 66 (69.0%) also endorsed experiencing cyberbullying.
6 ly evaluate for adolescents' experience with cyberbullying.
7 008 [2%] boys) reported both traditional and cyberbullying.
8 hysical, verbal, and relational bullying) or cyberbullying 2-3 times a month or more compared with th
9 re associated with poorer mental well-being, cyberbullying accounted for a very small share of varian
10 ntial variation in the rates of bullying and cyberbullying across states.
11  A total of 930 (8.9%) reported experiencing cyberbullying and 96 (0.9%) reported perpetrating cyberb
12 nconsistent and/or weak correlations between cyberbullying and anxiety.
13                                  Eventually, cyberbullying and cyberflashing are classified with the
14 el PTS-GReLU-GRU-based model for classifying cyberbullying and cyberflashing on WhatsApp, with the pr
15 nsistent relationship across studies between cyberbullying and depression among children and adolesce
16 efforts to prevent or increase resilience to cyberbullying and ensure adequate sleep and physical act
17 so mortality, with increased suicides due to cyberbullying and motor vehicle deaths due to texting wh
18 tatistically significant association between cyberbullying and report of depression.
19 f electronic communication that give rise to cyberbullying and the specific characteristics of school
20       We aimed to estimate the prevalence of cyberbullying and traditional bullying among adolescents
21 s spawned or mediated by the Internet; e.g., cyberbullying), and novel (new ways to study existing to
22  [<1%] girls, 130 [<1%] boys,) reported only cyberbullying, and 3655 (3% total, 2647 [5%] girls, 1008
23 and those with experiences of peer bullying, cyberbullying, and greater family conflict before the pa
24 e rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over
25 use of a social media tool in the context of cyberbullying, and were conducted with children or adole
26  complaints than those who never experienced cyberbullying (AOR = 2.39; 95%CI = 2.29, 2.49).
27                                 Responses to cyberbullying are most often passive, with a pervasive l
28 g, bullying perpetration, bullying exposure, cyberbullying, attitudes that discourage bullying, attit
29 traditional: b coefficient=-1.99 (SE 0.001); cyberbullying: b coefficient=-0.86 (0.06).
30                                              Cyberbullying (CB) has emerged as a growing concern amon
31 % (95% CI, 9%-29%) reduced odds of reporting cyberbullying compared with students in states whose law
32 ing works didn't identify the harmfulness of cyberbullying content.
33 timization experiences (verbal, physical and cyberbullying, discrimination) and internalizing problem
34  one-fifth (18.6%) of the sample experienced cyberbullying during the previous 12 months.
35                                              Cyberbullying experiences and perpetration have become i
36                             Youth reports of cyberbullying experiences or perpetration.
37                                              Cyberbullying experiences remained associated with suici
38 re many benefits to the use of social media, cyberbullying has emerged as a potential harm, raising q
39                     Exposure to bullying and cyberbullying in the past 12 months.
40                  The presence of contempt in cyberbullying is also discussed.
41 lts indicate that the most common reason for cyberbullying is relationship issues, with girls most of
42                             In the meantime, cyberbullying, offensive texts, and hate speech data are
43 ents; however, the evidence of the effect of cyberbullying on other mental health conditions is incon
44 scents who reported traditional bullying and cyberbullying once or twice in the past couple of months
45 might be due to a combination of exposure to cyberbullying or displacement of sleep or physical activ
46 ying (OR, 1.71; 95% CI, 1.11-2.65; P = .02), cyberbullying (OR, 2.28; 95% CI, 1.45-3.59; P < .001), m
47                             The frequency of cyberbullying positively related to all 11 internalizing
48                                              Cyberbullying refers to the utilization of Social Media
49   Policy and public health interventions for cyberbullying-related psychosomatic complaints in adoles
50                                              Cyberbullying relates to mental health and substance use
51                                 Experiencing cyberbullying remained associated with suicidality when
52 manifestation of affect is discussed using a cyberbullying scenario.
53                                              Cyberbullying serves as a compelling case study where et
54                                              Cyberbullying, sleep adequacy, and physical activity wer
55                               Adjustment for cyberbullying, sleep, and physical activity attenuated t
56 reased odds of exposure to both bullying and cyberbullying: statement of scope, description of prohib
57 on effect of PSMU on the association between cyberbullying victimisation and psychosomatic complaints
58 chanisms underlying the associations between cyberbullying victimisation and psychosomatic complaints
59 U partially mediated the association between cyberbullying victimisation and psychosomatic complaints
60  media use (PSMU) on the association between cyberbullying victimisation and psychosomatic complaints
61              Our findings suggest that while cyberbullying victimisation substantially influences psy
62                         Studies suggest that cyberbullying victimisation, particularly on social medi
63 sted direct and synergistic contributions of cyberbullying victimization and family dinners on the ra
64 ression analysis tested associations between cyberbullying victimization and the likelihood of mental
65                                 Frequency of cyberbullying victimization during the previous 12 month
66            This study presents evidence that cyberbullying victimization relates to internalizing, ex
67 r, and adolescents represent the majority of cyberbullying victims These technologies not only carry
68         Eight potential online risk factors (cyberbullying, violence, drug-related, hate speech, prof
69            The median reported prevalence of cyberbullying was 23.0% (interquartile range, 11.0%-42.6
70 who cannot easily defend himself or herself; cyberbullying was additionally defined as taking place i
71   Controlling for demographics, experiencing cyberbullying was associated with suicidality (odds rati
72 nal study, experiencing-but not perpetrating-cyberbullying was associated with suicidality in early a
73                                              Cyberbullying was more strongly related to suicidal idea
74 I, 3.5-5.1]; P < .001), whereas perpetrating cyberbullying was not (OR, 1.3 [95% CI, 0.8-2.3]; P = .3
75  showed that adolescents who were victims of cyberbullying were 2.39 times significantly more likely
76 des important information that characterizes cyberbullying within the context of social media, includ