Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens
This study provides a comprehensive analysis of the opportunities for democratizing artificial intelligence (AI) for social good using a bibliometric–systematic literature review method. It combines the quantitative analysis of bibliometric methods with the qualitative synthesis of systematic review...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Social Sciences |
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| Online Access: | https://www.mdpi.com/2076-0760/14/1/30 |
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| author | Chitat Chan Afifah Nurrosyidah |
| author_facet | Chitat Chan Afifah Nurrosyidah |
| author_sort | Chitat Chan |
| collection | DOAJ |
| description | This study provides a comprehensive analysis of the opportunities for democratizing artificial intelligence (AI) for social good using a bibliometric–systematic literature review method. It combines the quantitative analysis of bibliometric methods with the qualitative synthesis of systematic reviews. This approach helps identify patterns, trends, and gaps in the literature, advancing theoretical insights and mapping future research directions. Design/methodology/approach: Scopus, PubMed, and Web of Science, as prominent scientific databases, were utilized to examine publications between 2014 and 2024. The article selection followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The bibliometric analysis was conducted using CiteSpace software. Findings: The bibliometric analysis identified the most influential articles, journals, countries, authors, and key themes. The systematic thematic analysis identified established modes of using AI for social good. Moreover, future research directions are suggested and discussed in this article. Practical implications: The findings give future research directions and guidance to academics, practitioners, and policymakers for real-world applications. |
| format | Article |
| id | doaj-art-d02100bfa7904186b95cc9c98b0426c9 |
| institution | Kabale University |
| issn | 2076-0760 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Social Sciences |
| spelling | doaj-art-d02100bfa7904186b95cc9c98b0426c92025-01-24T13:49:43ZengMDPI AGSocial Sciences2076-07602025-01-011413010.3390/socsci14010030Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science LensChitat Chan0Afifah Nurrosyidah1Department of Social Work, Hong Kong Baptist University, 15 Baptist University Road, Kowloon Tong, KLN, Hong KongInstitute of Information Management, National Cheng Kung University, No.1, University Road, Tainan City 701401, TaiwanThis study provides a comprehensive analysis of the opportunities for democratizing artificial intelligence (AI) for social good using a bibliometric–systematic literature review method. It combines the quantitative analysis of bibliometric methods with the qualitative synthesis of systematic reviews. This approach helps identify patterns, trends, and gaps in the literature, advancing theoretical insights and mapping future research directions. Design/methodology/approach: Scopus, PubMed, and Web of Science, as prominent scientific databases, were utilized to examine publications between 2014 and 2024. The article selection followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The bibliometric analysis was conducted using CiteSpace software. Findings: The bibliometric analysis identified the most influential articles, journals, countries, authors, and key themes. The systematic thematic analysis identified established modes of using AI for social good. Moreover, future research directions are suggested and discussed in this article. Practical implications: The findings give future research directions and guidance to academics, practitioners, and policymakers for real-world applications.https://www.mdpi.com/2076-0760/14/1/30AIsocial gooddemocratizationbibliometric analysissystematic review |
| spellingShingle | Chitat Chan Afifah Nurrosyidah Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens Social Sciences AI social good democratization bibliometric analysis systematic review |
| title | Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens |
| title_full | Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens |
| title_fullStr | Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens |
| title_full_unstemmed | Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens |
| title_short | Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens |
| title_sort | democratizing artificial intelligence for social good a bibliometric systematic review through a social science lens |
| topic | AI social good democratization bibliometric analysis systematic review |
| url | https://www.mdpi.com/2076-0760/14/1/30 |
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