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Visual Analysis using CiteSpace

Knowledge mapping of impulsive buying behavior research: a visual analysis using CiteSpace


Adolescence is marked by a unique blend of factors, including adolescents’ exploration of their emerging sexuality and growing engagement with digital media. As adolescents increasingly navigate online spaces, cybergrooming victimization has emerged as a significant concern for the development and protection of young people. Yet, there is a lack of systematic analyses of the current state of research. To this end, the present systematic review aimed to integrate existing quantitative research on prevalence rates, risk factors, and outcomes of cybergrooming victimization, informed by an adaptation of the General Aggression Model.

Studies providing self-reported data on cybergrooming victimization of people between the ages of 5 and 21 were included. A total of 34 studies met all inclusion criteria, with most focusing on adolescence. Reported prevalence rates were characterized by strong heterogeneity, which could largely be attributed to the underlying methodology. Overall, the included studies showed that at least one in ten young people experiences cybergrooming victimization. Findings further indicated that various factors, for example, being a girl, being older, engaging in risky behavior, displaying problematic Internet use, reporting lower mental well-being, and experiencing other types of victimization, are positively associated with cybergrooming victimization.

However, most studies’ cross-sectional designs did not allow for an evidence-based classification into risk factors, outcomes, and co-occurrences, so findings were embedded in the proposed model based on theoretical considerations. In addition, there is a noted lack of studies that include diverse samples, particularly younger children, LGBTQIA+ youth, and young people with special educational needs. These findings emphasize that cybergrooming victimization is a prevalent phenomenon among young people that requires prevention and victim support addressing multiple domains.

network, data transmission, cloud networking, 5G connectivity, cybersecurity, wireless technology, IoT integration, SDN, communication efficiency, network infrastructure, scalability, automation, artificial intelligence, machine learning, reduced latency, data security, real-time analytics, hybrid networks, edge computing, VPNs

#NetworkTechnology, #DataTransmission, #CloudNetworking, #5GConnectivity, #CyberSecurity, #WirelessNetwork, #IoTIntegration, #SDNInnovation, #NetworkInfrastructure, #DigitalTransformation, #NetworkAutomation, #AIinNetworking, #MachineLearning, #EdgeComputing, #HybridNetworks, #VPNConnection, #DataSecurity, #NetworkOptimization, #SmartConnectivity, #TechInnovation

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