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Bibliometrix analysis of information sharing in social media

Author

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  • Alhamzah F. Abbas
  • Ahmad Jusoh
  • Adaviah Mas’od
  • Ahmed H. Alsharif
  • Javed Ali

Abstract

Social media has evolved at a rapid pace, influencing every aspect of the global community. The purpose of this paper is to use bibliometric analysis tools to evaluate valid works on the relationship between social media and information sharing. A review study of research papers on social media and information sharing published between 2009 and 2020 was conducted. The bibliometric analysis identified the following characteristics: (1) the primary articles are based on information sharing through social media; (2) the main authors deal with information sharing in social media; (3) the newestrend topics related to information sharing in social media are demographic characteristics, cognition, sentiment, healthcare, products and services recommendations, tourist recommendations, and COVID-19. The results show significant impact rates in studies of information sharing in social media. Overall, this study serves as a basis for new scientific questions that will contribute to the further development of this research field.

Suggested Citation

  • Alhamzah F. Abbas & Ahmad Jusoh & Adaviah Mas’od & Ahmed H. Alsharif & Javed Ali, 2022. "Bibliometrix analysis of information sharing in social media," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2016556-201, December.
    • Handle: RePEc:taf:oabmxx:v:9:y:2022:i:1:p:2016556
    DOI: 10.1080/23311975.2021.2016556
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    Cited by:

    1. Ahmed Alsharif & Nor Zafir Md Salleh & Lina PilelienÄ— & Alhamzah F. Abbas & Javed Ali, 2022. "Current Trends in the Application of EEG in Neuromarketing: A Bibliometric Analysis," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(3), pages 393-415, August.
    2. Okto Irianto & Tini Adiatma, 2023. "Financial Sustainability Publication Trend: A Bibliometric Study," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, September.
    3. Samira FRIOUI & Amel GRAA, 2024. "Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 5-24, February.
    4. Lina PilelienÄ— & Ahmed H. Alsharif & Ibrahim Bader Alharbi, 2022. "Scientometric Analysis Of Scientific Literature On Neuromarketing Tools In Advertising," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 8(5).

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