From the Cradle to the Web: The Growth of “Sharenting”—A Scientometric Perspective

Abstract

“Sharenting” is an internet trend in which parents report detailed information or repeatedly post pictures, videos, and other content about their children on social media. Due to the duality of sharenting, which takes place online but has offline consequences, it is essential to understand the implications of sharenting for real-world parenting and child development. The present work analyzes references in the existing literature and links among published articles to better understand sharenting, evidence for it, and major topics associated with it and to uncover the gaps in the literature. Citation analysis of the current literature mainly focuses on risks and benefits related to sharenting practices, especially for the children, and on ethical and privacy concerns. Future studies should investigate the psychological mechanisms that drive sharenting-related behaviors in parents and multidisciplinary approaches to the phenomenon. With a broader perspective on these issues, practitioners and professionals in family studies will be able to delineate guidelines for informative interventions to increase awarenes about the causes and consequences of publicly sharing child content.

Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022

“…Therefore, only one citation platform was chosen. Scopus was chosen over other platforms for its broader coverage in terms of number of indexed journals [ 22 ]. This method of literature search was previously adopted in [ 23 ] and is recommended by Chen [ 24 ].…”

“…Using the converted references, a document co-citation analysis (DCA) was conducted on CiteSpace. DCA is a form of scientometric analysis that makes use of the frequency with which two or more papers are cited together (co-cited) in source articles [ 22 , 27 ]. The foundation of DCA rests on the assumption that higher co-citation frequencies between two or more documents are a marker of common lines of research between the cited documents [ 28 ].…”

“…To calculate G-index, the “largest number that equals the average number of citations of the most highly cited g publications” [ 29 ] is taken. The scaling factor k for the G-index criterion is introduced by CiteSpace to regulate the size of the network and can be any positive number [ 22 ]. The larger the k value, the more nodes included in the network.…”

“…Additionally, to allow CiteSpace to explore all possible links between older and more recent references and documents, the Look Back Years function was set to −1 (i.e., unlimited). Following the procedure of previously published papers [ 22 ], in this review, the following criteria were tested to optimize the results from the final DCA: G-index with scaling factor k set at 15, 25, and 50; Top N with N set at 25 and 50; Top N % with N set at 5, 10, and 15. The generated DCAs were evaluated to arrive at a final network that consists of coherent and distinct research clusters, and that is visually balanced and representative of the dataset.…”

Culture and the Assumptions About Appearance and Reality: A Scientometric Look at a Century of Research

“…In line with previous publications on scientometric frameworks (Jayantha and Oladinrin, 2019), all data for the current review were downloaded from the Scopus platform. Scopus was chosen over other platform for its wider coverage of journals Cataldo et al (2022). In order to include the largest number of articles, the following series of topicspecific keywords for the bibliographic research was used:…”