Virtual human on social media: Text mining and sentiment analysis

被引:1
作者
Li, Sihong [1 ]
Chen, Jinglong [1 ,2 ,3 ]
机构
[1] Wuhan Univ, Sch Informat Management, 299 Bayi Rd, Wuhan 430072, Hubei, Peoples R China
[2] Wuhan Univ, Ctr Studies Informat Resources, Wuhan 430072, Peoples R China
[3] Wuhan Univ, Big Data Inst, Wuhan 430072, Peoples R China
关键词
Virtual human; Social media; Text mining; Public opinion; Sentiment analysis;
D O I
10.1016/j.techsoc.2024.102666
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
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.
引用
收藏
页数:12
相关论文
共 48 条
  • [21] Artificial intelligence for the metaverse: A survey
    Huynh-The, Thien
    Pham, Quoc-Viet
    Pham, Xuan-Qui
    Nguyen, Thanh Thi
    Han, Zhu
    Kim, Dong-Seong
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [22] Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
    Jelodar, Hamed
    Wang, Yongli
    Yuan, Chi
    Feng, Xia
    Jiang, Xiahui
    Li, Yanchao
    Zhao, Liang
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (11) : 15169 - 15211
  • [23] Microblog credibility indicators regarding misinformation of genetically modified food on Weibo
    Ji, Jiaojiao
    Chao, Naipeng
    Wei, Shitong
    Barnett, George A.
    [J]. PLOS ONE, 2021, 16 (06):
  • [24] Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image
    Kim, Hak Gu
    Lim, Heoun-Taek
    Ro, Yong Man
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 30 (04) : 917 - 928
  • [25] Topic modeling to discover the thematic structure and spatial-temporal patterns of building renovation and adaptive reuse in cities
    Lai, Yuan
    Kontokosta, Constantine E.
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2019, 78
  • [26] Virtual influencers as an emerging marketing theory: A systematic literature review
    Laszkiewicz, Anna
    Kalinska-Kula, Magdalena
    [J]. INTERNATIONAL JOURNAL OF CONSUMER STUDIES, 2023, 47 (06) : 2479 - 2494
  • [27] Public attention and sentiment of recycled water: Evidence from social media text mining in China
    Li, Li
    Liu, Xiaojun
    Zhang, Xinyue
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 303
  • [28] What is AI Literacy? Competencies and Design Considerations
    Long, Duri
    Magerko, Brian
    [J]. PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [29] Minor flaws are better: The positive effect of aesthetic imperfection about avatar endorsers on brand authenticity
    Lv, Linxiang
    Huang, Minxue
    Guan, Dawei
    Yang, Kairui
    [J]. JOURNAL OF BUSINESS RESEARCH, 2023, 166
  • [30] Apology or gratitude? The effect of communication recovery strategies for service failures of AI devices
    Lv, Linxiang
    Huang, Minxue
    Guan, Dawei
    Yang, Kairui
    [J]. JOURNAL OF TRAVEL & TOURISM MARKETING, 2022, 39 (06) : 570 - 587