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Virtual human on social media: Text mining and sentiment analysis

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  • Li, Sihong
  • Chen, Jinglong

Abstract

Virtual humans are embodied agents with a human-like appearance. Despite the recent booming development that has sparked widespread academic interest, how people perceive these seemingly human but entirely fictional creations remains unclear. To explore the status, trends, emotional tendencies, and focus of attention of the Chinese public towards virtual humans, this paper utilizes text mining techniques to collect and analyze popular posts related to virtual humans on Chinese social media. The results indicate that public discussions primarily focus on the technological and industrial development of virtual humans, applications in the fields of virtual idols and virtual streamers, and the corporate investment and policy development of virtual humans. Despite positive emotions dominating, there is an increasing trend in negative emotions. Concerns are related to service failures, the uncanny valley effect, ethical crises, and technological unemployment. The research findings contribute to policymakers, industry stakeholders, and the public in understanding the general attitudes toward virtual human technology, enabling informed decision-making.

Suggested Citation

  • Li, Sihong & Chen, Jinglong, 2024. "Virtual human on social media: Text mining and sentiment analysis," Technology in Society, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x24002148
    DOI: 10.1016/j.techsoc.2024.102666
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    as
    1. Lian, Ying & Tang, Huiting & Xiang, Mengting & Dong, Xuefan, 2024. "Public attitudes and sentiments toward ChatGPT in China: A text mining analysis based on social media," Technology in Society, Elsevier, vol. 76(C).
    2. Galaz, Victor & Centeno, Miguel A. & Callahan, Peter W. & Causevic, Amar & Patterson, Thayer & Brass, Irina & Baum, Seth & Farber, Darryl & Fischer, Joern & Garcia, David & McPhearson, Timon & Jimenez, 2021. "Artificial intelligence, systemic risks, and sustainability," Technology in Society, Elsevier, vol. 67(C).
    3. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    4. Wu, Zezhou & He, Qiufeng & Li, Jiarun & Bi, Guoqiang & Antwi-Afari, Maxwell Fordjour, 2023. "Public attitudes and sentiments towards new energy vehicles in China: A text mining approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    5. Audrezet, Alice & de Kerviler, Gwarlann & Guidry Moulard, Julie, 2020. "Authenticity under threat: When social media influencers need to go beyond self-presentation," Journal of Business Research, Elsevier, vol. 117(C), pages 557-569.
    6. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & David Sydney Jones & John Krogstie, 2022. "The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures," Post-Print hal-03997438, HAL.
    7. James Bessen, 2018. "AI and Jobs: the role of demand," NBER Working Papers 24235, National Bureau of Economic Research, Inc.
    8. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    9. Sergio Barta & Raquel Gurrea & Carlos Flavián, 2023. "Telepresence in live-stream shopping: An experimental study comparing Instagram and the metaverse," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    10. Hua Bai & Guang Yu, 2016. "A Weibo-based approach to disaster informatics: incidents monitor in post-disaster situation via Weibo text negative sentiment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(2), pages 1177-1196, September.
    11. De Cicco, Roberta & Iacobucci, Serena & Cannito, Loreta & Onesti, Gianni & Ceccato, Irene & Palumbo, Riccardo, 2024. "Virtual vs. human influencer: Effects on users’ perceptions and brand outcomes," Technology in Society, Elsevier, vol. 77(C).
    12. Hoyer, Wayne D. & Kroschke, Mirja & Schmitt, Bernd & Kraume, Karsten & Shankar, Venkatesh, 2020. "Transforming the Customer Experience Through New Technologies," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 57-71.
    13. Yu, Joanne & Dickinger, Astrid & So, Kevin Kam Fung & Egger, Roman, 2024. "Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    14. Seyitoğlu, Faruk & Ivanov, Stanislav, 2024. "Robots and emotional intelligence: A thematic analysis," Technology in Society, Elsevier, vol. 77(C).
    15. Zhou, Min & Huang, Jinlong & Wu, Kexin & Huang, Xin & Kong, Nan & Campy, Kathryn S., 2021. "Characterizing Chinese consumers’ intention to use live e-commerce shopping," Technology in Society, Elsevier, vol. 67(C).
    16. Deng, Fengyi & Jiang, Xia, 2023. "Effects of human versus virtual human influencers on the appearance anxiety of social media users," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    17. Hou, Shengjie & Zhang, Xiang & Yi, Biyi & Tang, Yi, 2022. "Public attitudes on open source communities in China: A text mining analysis," Technology in Society, Elsevier, vol. 71(C).
    18. Allal-Chérif, Oihab & Puertas, Rosa & Carracedo, Patricia, 2024. "Intelligent influencer marketing: how AI-powered virtual influencers outperform human influencers," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    19. Nguyen, Quoc Phu & Vo, Duc Hong, 2022. "Artificial intelligence and unemployment:An international evidence," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 40-55.
    20. Gao, Wei & Jiang, Ning & Guo, Qingqing, 2023. "How do virtual streamers affect purchase intention in the live streaming context? A presence perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    21. Hu, Hai-hua & Ma, Fang, 2023. "Human-like bots are not humans: The weakness of sensory language for virtual streamers in livestream commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    22. Abdel-Basset, Mohamed & Chang, Victor & Nabeeh, Nada A., 2021. "An intelligent framework using disruptive technologies for COVID-19 analysis," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    23. Daniel S Schiff, 2024. "Framing contestation and public influence on policymakers: evidence from US artificial intelligence policy discourse," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 43(3), pages 255-288.
    24. Nissim, Gadi & Simon, Tomer, 2021. "The future of labor unions in the age of automation and at the dawn of AI," Technology in Society, Elsevier, vol. 67(C).
    25. Blut, Markus & Wünderlich, Nancy V. & Brock, Christian, 2024. "Facilitating retail customers’ use of AI-based virtual assistants: A meta-analysis," Journal of Retailing, Elsevier, vol. 100(2), pages 293-315.
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