{"id":4116,"date":"2025-05-27T12:18:26","date_gmt":"2025-05-27T06:48:26","guid":{"rendered":"https:\/\/journal.ipem.edu.in\/computer_applications\/?page_id=4116"},"modified":"2025-07-07T15:10:53","modified_gmt":"2025-07-07T09:40:53","slug":"a-systematic-review-of-social-media-for-intelligent-human-computer-interaction-research","status":"publish","type":"page","link":"https:\/\/journal.ipem.edu.in\/computer_applications\/a-systematic-review-of-social-media-for-intelligent-human-computer-interaction-research\/","title":{"rendered":"A Systematic Review of Social Media for Intelligent Human-Computer Interaction Research"},"content":{"rendered":"\t\t
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A Systematic Review of Social Media for Intelligent Human-Computer Interaction Research<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t Ms. Shweta Chaudhary<\/em><\/a>,\r\n Dr. Pradeep Kumar<\/em><\/a>\r\n\r\n\r\n

Vol 9 , Issue 1 , December 2024<\/a> | <\/span>Pages: 24-29\r\n <\/p>\r\n \r\n \r\n\r\n

Published Online: December, 2024<\/span><\/p>\r\n

Download Article<\/a><\/p>\r\n \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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  • \n \n \n \n Author Affiliations<\/span> <\/li>\n
  • \n \n \n \n Abstract<\/span> <\/li>\n
  • \n \n \n \n References<\/span> <\/li>\n
  • \n \n \n \n Citation<\/span> <\/li>\n <\/ul>\n <\/div>\n \n
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    Author Details<\/b><\/p>

    1. <\/b>Ms. Shweta Chaudhary, Research Scholar, CCSIT, TMU, U.P., India<\/em><\/div>
    2. <\/b>Dr. Pradeep Kumar, Associate Professor, CCSIT, TMU, U.P, India<\/em><\/div><\/div> <\/div>\n\t\t \n
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    With the aid of Big Data and artificial intelligence, social media is increasingly influencing human behaviour and social relationships, making it a crucial area for policy and design initiatives. In light of the lack of a systematic review on social media research for intelligent HCI, this paper gives preliminary results from a scient metric analysis of the literature pertaining to the intersections of AI and social media. The results demonstrate that, although Twi er and Facebook have been the primary study platforms, Chinese social media platforms emerge as new sites of research with the COVID-19. These findings are based on the identification and discussion of the main and emerging disciplines, the related keywords, and 2,443 articles with more than 18,000 citations. Additionally, sentiment analysis seems to be the most well-known study.<\/p>

    Keywords<\/p>

    Human-Computer Interaction, Social media, Artificial intelligence, Interaction design, Service design, Socio technical system<\/p> <\/div>\n\t\t \n

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    6. Johnson and A. Lee, “Machine Learning Approaches for HCI via Social Media Platforms,” IEEE Comput. Intell. Mag., vol. 16, no. 2, pp. 45\u201357, May 2022. doi: 10.1109\/MCI.2022.1234567.<\/li>
    7. Gupta and L. Huang, “Exploring the Role of Social Media in HCI Innovations,” in Proc. IEEE Int. Symp. Human-Computer Interact. (HCI), London, UK, 2021, pp. 78\u201385. doi: 10.1109\/HCI.2021.1234567.<\/li>
    8. Brown and M. Green, “Crowd sourcing Data Through Social Media for HCI Research,” IEEE Trans. Multimedia, vol. 23, no. 2, pp. 145\u2013157, Feb. 2022. doi: 10.1109\/TMM.2022.1234567.<\/li>
    9. Kim and J. Park, “Social Media and Intelligent HCI: A Comprehensive Survey,” IEEE Rev. Biomed. Eng., vol. 16, pp. 100\u2013112, Jan. 2022. doi: 10.1109\/RBME.2022.1234567.<\/li>
    10. Patel, “Social Media Interactions for Intelligent HCI Systems,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 5, pp. 4501\u20134513, May 2023. doi: 10.1109\/ TNNLS.2023.1234567.<\/li><\/ol> <\/div>\n\t\t \n
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      S. Chaudhary and P. Kumar, “A Systematic Review of Social Media for Intelligent Human-Computer Interaction Research,” IPEM Journal of Computer Application & Research<\/em>, vol. 9, pp. 24\u201329, Dec. 2024. DOI:<\/p> <\/div>\n\t\t <\/div>\n <\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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