articleHumanities and Social Sciences CommunicationsSep 27, 2024GOLD OA

AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content

YSYujie SunDSDongfang ShengZZZihan ZhouYWYifei Wu

Shandong Normal University · Shandong University · +1 more institution

Indexed incrossrefdoaj

Abstract

Amidst the burgeoning information age, the rapid development of artificial intelligence-generated content (AIGC) has brought forth challenges regarding information authenticity. The proliferation of distorted information significantly impacts users negatively. This study aims to systematically categorize distorted information within AIGC, delve into its internal characteristics, and provide theoretical guidance for its management. Utilizing ChatGPT as a case study, we conducted empirical content analysis on 243 instances of distorted information collected, comprising both questions and answers. Three coders meticulously interpreted each instance of distorted information, encoding error points based on a…

Citation impact

215
total citations
FWCI
218.52
Percentile
100%
References
42
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Authors

4

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Content (measure theory)
  • Computer science
  • Pattern recognition (psychology)
  • Mathematics
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