doi: 10.18178/ijimt.2024.15.4.967
Social Media Crowdsourcing a Co-Citation Bibliometric Analysis
- Graduate School of Technology Management, Ritsumeikan University, Osaka, Japan
- Manuscript receivedOctober 10, 2023
- revisedNovember 9, 2023
- acceptedDecember 9, 2023
- publishedNovember 13, 2024
Abstract
Social media crowdsourcing has rapidly expandedinto multitudes of academic spheres. This article aims to createan exhaustive bibliometric analysis of the expanding field ofsocial media crowdsourcing with the objective of mapping thescholarly impact, thematic concentrations, and intellectualstructure of already existing literature and their fields ofresearch. A comprehensive analysis of the literature oncrowdsourcing and social media was conducted using advancedstatistical methodologies and tools such as Bibliometrix andBiblioshiny. The publications closely related to these topics wereextracted from the Web of Science database, and co-author,co-word, and co-citation analyses were performed. Thesefindings were then visualized graphically. The study highlightsthe most impactful sources, articles and their authors as well asthe frequently used terms and their relatedness in order toexamine the past, current and future trends, with the ultimategoal of finding unexplored or under-explored niches. Theexamination of various factors revealed significant researchgaps in both the geographical and platform aspects. Thegeographic analysis shed light on areas where there is a lack ofresearch, indicating potential for further exploration into theutilization of social media in crowdsourcing in the countrieswhere it is yet to be explored. Additionally, the overreliance onTwitter as a social media platform has in a way constrainedresearch opportunities and directions using local less popular,but potentially more efficient for the gathering of information inthe respective field.
Keywords
- bibliometric analysis
- co-citation
- crowdsourcing
- social media
How to Cite
Anna D. Kyosova, "Social Media Crowdsourcing a Co-Citation Bibliometric Analysis," International Journal of Innovation, Management and Technology, vol. 15, no. 4, pp. 82-89, 2024. https://doi.org/10.18178/ijimt.2024.15.4.967
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).