Social media role in public health development: a bibliometric approach

Abstract

PurposeWith the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.Design/methodology/approachThe research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers.FindingsThe study's findings provide a path to understanding the present research stream regarding the highest publication in terms of journals and the year and relevance of social media in public health development. Five theme-based clusters have been identified based on keyword cooccurrences. Thus, future researchers can extend the research field using different themes and frameworks, adding value to the present research works.Practical implicationsThis research work is helpful to the government, health practitioners, policymakers and researchers in investigating areas where social media can be implemented. Lastly, social media applications will provide health development measures and lucrative results to the public.Originality/valueThe research enumerates the significance of social media in public health development through bibliometric analysis. The research work analyzed, reviewed and measured the importance of social media in health development measures by recognizing its usage, application and potential future research directions. The theme-based clusters have also been identified from the keywords’ cooccurrences.