Twitter Research Synthesis for Health Promotion: A Bibliometric Analysis

  • Syed Hamad Hassan Shah School of Business, Nanjing University, Nanjing, China
  • Saleha Noor School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
  • Atif Saleem Butt American University of Ras Al Khaimh, Ras Al Khaimah, United Arab Emirates
  • Habiba Halepoto College of Information Science and Technology, Donghua University, Shanghai, China
Keywords: Twitter; Bibliometric analysis; Health promotion; Knowledge management

Abstract

Background: This study enriched our understanding by systematically reviewing knowledge management twitter health (KMTH) articles extracted from Web of Science (WoS) using cartography analysis through VOSviewer–for the last 11 years.

Methods: A total of 798 KMTH articles were found from 2009 to 2019, analyzed based on the most co-occurrence keywords of KMTH articles.

Results: Three clusters emerged through cartography analysis; Cluster 1: Twitter as health education and health promotion platform; Cluster 2: Twitter as public health promotion platform and Cluster 3: Twitter as health sentiment platform through big data and machine learning.

Conclusion: This study opened new avenues for all health care providers to utilize Twitter as a KM platform to promote health care. This is the first bibliometric analysis of KMTH publications according to our best knowledge.

Published
2021-10-26
Section
Articles