Scientometric Analysis of ICT-Assisted Child Abuse Research
摘要
Child abuse is an indelible mark on humanity’s conscience. In its various manifestations, child abuse is a betrayal of innocence or a breach of trust and has become the primary cause of physical and psychological victimization of children all over the world. Information and communication technology (ICT) has played a critical role in this child abuse-related research, offering several potential technologies to diagnose, detect, prevent, or investigate. The current study provides a scientometric analysis of the literature on ICT-assisted child abuse research.
MethodThis study investigates bibliometric data on child abuse-related research incorporating ICT technologies using a variety of empirical methodologies, including publications, citation behavior analysis, participation by nations, and knowledge mapping of scientific literature utilizing visualization tools such as VOSViewer and RStudio.
ResultThis study explores emerging trends, research hotspots, cluster analysis, and prospective future directions in this research domain. Additionally, it has been observed that medical imaging and artificial intelligence are the most prominent research domains of ICT in child abuse-related research, followed by data mining and ubiquitous computing.
ConclusionThis scientometric analysis explored ICT-assisted child abuse research. Journal citations, collaboration networks, research trends, and subject clusters were analyzed to provide an overview of the field. ICT integration has greatly enhanced child abuse detection, analysis, and intervention. The evolution of research demonstrates a rising emphasis on medical imaging and Artificial Intelligence (AI) driven techniques. Moreover, data science, mobile technologies, social media analytics, and ubiquitous computing are crucial approaches to combat child abuse successfully.