• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Lian, Ying (Lian, Ying.) | Tang, Huiting (Tang, Huiting.) | Xiang, Mengting (Xiang, Mengting.) | Dong, Xuefan (Dong, Xuefan.)

Indexed by:

SSCI Scopus

Abstract:

ChatGPT, an innovative artificial intelligence language model, is attracted significant attention around the world, sparking both enthusiasm and controversy, but identifying its societal impact and addressing its potential concerns necessitate an understanding of the prevailing public's attitudes toward the tool. In this study, we leverage text mining techniques to analyze the sentiments and themes prevalent among Chinese social media discussions of ChatGPT. In total, 96,435 comment data and 55,186 repost data were used, and the results show that public discussions mainly focused on ChatGPT's technical support, AI-related effectiveness, impact on human work, and effects on education and technology. Concerns were related to disinformation risks, technological unemployment, and the human-computer relationship. In addition, we found that social media played a prominent role in information dissemination, while official media and government units demonstrated a limited influence. The insights obtained through this study can inform policymakers, industry stakeholders, and the public of the public's prevailing attitude toward AI technologies, and they can facilitate informed decision-making.

Keyword:

Online public opinion Text mining Artificial intelligence Public perception Social media ChatGPT

Author Community:

  • [ 1 ] [Lian, Ying]Commun Univ China, Sch Journalism, 1 Dingfuzhuang East St, Beijing 100024, Peoples R China
  • [ 2 ] [Tang, Huiting]Commun Univ China, Sch Journalism, 1 Dingfuzhuang East St, Beijing 100024, Peoples R China
  • [ 3 ] [Xiang, Mengting]Commun Univ China, Sch Journalism, 1 Dingfuzhuang East St, Beijing 100024, Peoples R China
  • [ 4 ] [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 5 ] [Dong, Xuefan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China;;

Show more details

Related Keywords:

Source :

TECHNOLOGY IN SOCIETY

ISSN: 0160-791X

Year: 2023

Volume: 76

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 40

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 29

Affiliated Colleges:

Online/Total:235/10296338
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.