Online Activities and Risk Behaviors among Adolescents in the Virtual Environment

Vejmelka, Lucija; Strabić, Nives; Jazvo, Marija

doi:10.5559/di.26.1.04

Cited by 11 publications

(18 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Tokunaga [28], on the other hand, consider as electronic violence any behavior that infringes on modern technologies, in which communication between a group or individuals involves messages of an aggressive and hostile nature intended to hurt or embarrass other people. There is a large number of cyberbullying studies around the world [29,30], and some of them are investigating the connection with other forms of problematic Internet usage as Internet addiction or online gaming [30][31][32]. There are several theoretical approaches and models used to study cyberbullying.…”

Section: Problematic Usage Of Internetmentioning

confidence: 99%

“…Research on Internet addiction in Croatia shows that 2-4% of children (depending on the group) experience a high level of problematic behavior on the Internet, and they most likely need intensive treatment in specialized institutions. However, studies also identified about 30% of children who experience moderate symptoms of Internet addiction [31,42], which classify them in at-risk groups that should be targeted with adequate and timely prevention programs…”

Section: Problematic Usage Of Internetmentioning

confidence: 99%

“…Online gaming is the activity that boys do significantly more often than girls, which is confirmed by various studies. While online gaming is a preferred boys' online activity, research shows that girls use social networks significantly more often than their male peers [6,8,31]. HBSC [7] confirms that girls are more likely than boys to use the Internet for communication with friends but also stresses that girls have higher levels of problematic social media use; additionally, the prevalence of intensive Internet use was higher among girls than boys.…”

Section: Online Activities and Peer Interactions Among Youth: A Gender Perspectivementioning

confidence: 99%

See 2 more Smart Citations

Online Interactions and Problematic Internet Use of Croatian Students during the COVID-19 Pandemic

Vejmelka

Matković

2021

Information

Self Cite

View full text Add to dashboard Cite

The COVID-19 pandemic caused a transition to online services in almost all aspects of life. Today, online access is an important aspect of child well-being more than ever. The aim of the study was to investigate online activities and gender differences of children with a special focus on harmful online content, cyberbullying, and Internet addiction. Our research was conducted among students from one Croatian county (average age = 14.97, N = 494). The Internet Addiction Test, the European Cyberbullying Intervention Project Questionnaire, as well as questions constructed for the purposes of this research (e.g., online contents) were used. Between 20% and 30% of students spend four or more hours a day online. Furthermore, 14.57% of students showed moderate signs of addiction, and 1.42% already showed severe signs of addiction, where girls had significantly higher results. The results indicated that 12.75% of students were victims, 5.87% were perpetrators, and 8.3% were, at the same time, committing and experiencing cyberbullying. Children who commit and/or experience cyberbullying achieve higher results on the scale of Internet addiction than children who do not participate in cyberbullying. These findings contribute to our understanding of Internet usage and especially its problematic aspect in such a complex time as the COVID-19 pandemic, and they can be useful for planning future interventions with children.

show abstract

Section: Problematic Usage Of Internetmentioning

confidence: 99%

Section: Problematic Usage Of Internetmentioning

confidence: 99%

Section: Online Activities and Peer Interactions Among Youth: A Gender Perspectivementioning

confidence: 99%

See 1 more Smart Citation

Online Interactions and Problematic Internet Use of Croatian Students during the COVID-19 Pandemic

Vejmelka

Matković

2021

Information

Self Cite

View full text Add to dashboard Cite

show abstract

“…These addictions include, for example: shopping, virtual sex, games, social network services (SNS), smartphones, online gambling, cyber-relationships, file downloading -namely, e-services that provide positive stimulation for users (Mihajlov, Vejmelka, 2017;Rębisz, Sikora, 2016;Wąsiński, Tomczyk, 2015;Kačániová, Bačíková, 2016). All the above mentioned Internet addiction types fit into category of problematic Internet use (PIU) (Vejmelka, Strabić, Jazvo, 2017), that is, situations considered risky but, due to lack of clear diagnostic criteria, their unambiguous evaluation is impossible. PIU is also treated as a synonym for symptoms of one of the types of Internet addictions.…”

Section: Internet Addiction and Fomomentioning

confidence: 99%

Fear of Missing Out (FOMO) among youth in Bosnia and Herzegovina — Scale and selected mechanisms

Tomczyk

Selmanagic-Lizde

2018

Children and Youth Services Review

View full text Add to dashboard Cite

Internet addiction takes on different forms and is an important issue for diagnostic and preventive reasons. This paper sets out to diagnose the scale of problematic use of Internet (PIU) in the context of symptoms and mechanisms of FOMO (Fear of Missing Out). For this purpose, triangulation of the following research tools was applied: Social Media Intensity Scale, Fear of Missing Out Scale, Summary of Social Media Use, Social Media Usage Urges, the Bergen Facebook Addiction Scale. To picture the scale of FOMO and accompanying PIU behaviors, data from 717 students in Sarajevo and Mostar cantons (Bosnia and Herzegovina) were collected. The research was conducted in 2 nd half of 2017. Based on this data, we can see that about 20% of young respondents (average age of 13 years) show several FOMO symptoms, whereas another 30% belong are at risk of being addicted to Internet. The remaining 50% of students are not at risk of IAT. These criteria vary due to lack of unified tools to measure FOMO. However, it has been observed that FOMO is minimized by some forms of leisure activity and does not depend on gender.

show abstract

“…As we observed from the manual analysis of the 488 articles, this is mainly done through quantitative analysis; 348 articles out of 488 were examined using quantitative methods. Furthermore, there is a significant concern for online deviance and online deviant behaviors (Marcum et al, 2010;Oksanen et al, 2014;Rafalow, 2015;Vejmelka et al, 2017;Mesch, 2018;Tomczyk, 2018;Chester et al, 2019;Granic et al, 2020;Semenza, 2021). The extensive number of identified studies focused on online deviance and adolescents is connected to the popularity of Internet among teenagers and compulsive use of it (Wachs et al, 2015;Kapoor et al, 2017;Ohannessian and Vannucci, 2020).…”

Section: Discussionmentioning

confidence: 99%

Adolescent Deviance and Cyber-Deviance. A Systematic Literature Review

et al. 2021

View full text Add to dashboard Cite

Deviance is a complex phenomenon that influences aspects both at the macro and micro levels, extensively studied by social scientists The main objective of this article was to conduct a systematic literature review for clustering the topics on adolescent deviance and online deviance. Grounded in Pickering's and Byrne's guidelines and PRISMA protocol, we identified the most recurrent themes, theories and predictors in the 61 most-cited articles related to the concept of deviance from the database of Web of Science, as well as in 488 abstracts of representative papers. The results emphasized four main clusters of topics, namely, predictors of deviance, online deviance, socio-constructivist theories, and research based theories of deviant behavior. The findings highlighted that researchers frequently use strain theory, social learning, self-control, and social control theories in their studies. Our systematic literature review revealed also the most encountered predictors of deviance, which we have classified into five main categories: family patterns, socio-demographic aspects, socialization, victimization, and school and individual factors. For online deviance, family patterns, socio-demographic aspects, victimization, school and individual factors, and Internet and computer use have been determined to be the main groups of predictors. The present systematic literature review makes an important contribution to the understanding of deviance by presenting an overview of the phenomenon.

show abstract

Online Activities and Risk Behaviors among Adolescents in the Virtual Environment

Cited by 11 publications

References 19 publications

Online Interactions and Problematic Internet Use of Croatian Students during the COVID-19 Pandemic

Online Interactions and Problematic Internet Use of Croatian Students during the COVID-19 Pandemic

Fear of Missing Out (FOMO) among youth in Bosnia and Herzegovina — Scale and selected mechanisms

Adolescent Deviance and Cyber-Deviance. A Systematic Literature Review

Contact Info

Product

Resources

About