Photovoice Method Trends, Status and Potential for Future Participatory Research Approach

Abstract


 
 
 In the last decade, researchers from around the world have shown deep interest in using photovoice as a method of analysis in scientific research. This might be due to the participatory strength of the method that acts as a bridge to connect researcher and community by balancing scientific research and mitigating action. The purpose of this research is to synthesize the available research on the photovoice method using the Scientometric method. This article explores the research landscape, key topics, and developments of the photovoice method based on the 1252 document data retrieved from the Web of Science Core Collection dated from 1997 to 2019. The results show that the interest in using this method is significantly high in the United States, Canada, and the United Kingdom as they are the major leaders in publication contributions. A Scientometric analysis for Document co-citation analysis was applied and 15 research clusters were identified. This paper reviews the main characteristics of 6 most important clusters and their contribution to the photovoice method. The outcome of this study contributes to academia, industry practitioners and policymakers by providing an understanding of overall trends, status, and potential research questions of study in this domain.
 
 

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“…inside the network. A network is a string of nodes (a document, author, affiliation and country of published article) that are intercorrelated with one another via ties (lines that link two or more nodes with each other, where the link represents the citation that an article gives or obtains from other articles) [17][18][19]. Chen, a researcher at the College of Computing and Informatics, Drexel University, USA, and was freely available from the CiteSpace website (https://citespace.podia.com/download) (accessed on 3 October 2022).…”

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