Public Perceptions of GAI: A YouTube Analysis of Sora

Shilan Huang*, Dion Hoe Lian Goh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Text-to-video generative AI (GAI) tools are captivating the world with hyper-realistic content. However, public perceptions of such technologies remain ambiguous. This paper investigates Sora, a new OpenAI offering, as an example to understand the public perceptions of GAI technology. The data comprises the 39 most popular YouTube videos about Sora and their most-liked user comments. Through a SWOT analysis, we identify the multifaceted portrayals of Sora in the videos and the corresponding comments. Implications for future research are discussed.

Original languageEnglish
Pages (from-to)940-942
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume61
Issue number1
DOIs
Publication statusPublished - Oct 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.

ASJC Scopus Subject Areas

  • General Computer Science
  • Library and Information Sciences

Keywords

  • Generative artificial intelligence
  • Public perceptions
  • Sora
  • SWOT analysis
  • Technology frames

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