Public Perceptions of Generative AI: Insights from Social Q&A Platforms

Jiaqi Liao*, Chei Sian Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Generative AI (GenAI) discussions on social Q&A platforms reveal diverse public perceptions and user engagement shaped by platform-specific characteristics. This study analyzed discussions on Zhihu, Quora, and Reddit using topic modeling, topic similarity analysis and sentiment analysis, uncovering distinct user priorities and emotional responses. Zhihu focused on content creation, ethics, and personalized learning, with polarized sentiments. Quora emphasized business strategies, customer support, and technical learning, showing predominantly positive emotions. Reddit explored a wide range of topics, including communication tools and software development, with balanced sentiments. Cross-platform analysis revealed shared interests in communication, translation, and education, with notable overlaps in personalized learning and technical applications. These insights highlight how user demographics influence GenAI discourse, offering practical guidance for tailoring tools to regional needs. The comparative results have both practical and theoretical implications, offering valuable insights for stakeholders to tailor applications and strategies for different user groups related to GenAI.

Original languageEnglish
Title of host publicationHCI International 2025 Posters - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages349-358
Number of pages10
ISBN (Print)9783031941702
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event27th International Conference on Human-Computer Interaction, HCII 2025 - Gothenburg, Sweden
Duration: Jun 22 2025Jun 27 2025

Publication series

NameCommunications in Computer and Information Science
Volume2529 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference27th International Conference on Human-Computer Interaction, HCII 2025
Country/TerritorySweden
CityGothenburg
Period6/22/256/27/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

ASJC Scopus Subject Areas

  • General Computer Science
  • General Mathematics

Keywords

  • Cross-platform comparison
  • Generative artificial intelligence
  • Public discourse
  • Sentiment analysis
  • Social Q&A
  • Topic modeling

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