Artificial Intelligence Integration in Global Social Science Research: A Metric Analysis

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dc.contributor.authorNath, Borna
dc.contributor.authorSingh, Moirangthem Sajan
dc.contributor.authorAldarthi, Rajesh Rangappa
dc.contributor.authorSinha, Manoj Kumar
dc.date.accessioned2024-10-03T05:47:44Z
dc.date.available2024-10-03T05:47:44Z
dc.date.issued2024-09-19
dc.description12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024en_US
dc.description.abstractThis scientometric study analyzes the integration and impact of AI in global and Indian social science research from 2014 to 2023 using the Scopus database. Major outcomes identify China, the United States, and India as main contributors, with significant contributions from organizations such as Symbiosis International. The study found a considerable rise in AI related publications, mostly in conference papers and journals. Major authors such as Yogesh K. Dwivedi have significant citation impacts, highlighting the importance of collaboration with other authors. The study concludes that although artificial intelligence (AI) has enormous social and economic benefits, it also has drawbacks like unfairness and unemployment, thus it is necessary to balance the application of AI.en_US
dc.identifier.isbn978-93-81232-13-2
dc.identifier.urihttp://ir.inflibnet.ac.in/handle/1944/2457
dc.language.isoenen_US
dc.publisherINFLIBNET Centre Gandhinagaren_US
dc.subjectScientometric analysis,en_US
dc.subjectAI in social science,en_US
dc.subjectArtificial intelligence,en_US
dc.subjectAI and society,en_US
dc.subjectGlobal impact,en_US
dc.subjectResearch trenden_US
dc.titleArtificial Intelligence Integration in Global Social Science Research: A Metric Analysisen_US
dc.typeArticleen_US

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