Third-Person Effects on the Perceptions of Deepfake Harms Among Seniors

Liuyu Huang*, Shilan Huang, Dion Hoe Lian Goh, Chei Sian Lee

*Corresponding author for this work

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

Abstract

Deepfake technology has profoundly impacted society. While it has positive uses, it has also been exploited for malicious purposes, such as disseminating fake news and defaming individuals. However, relatively few studies have focused specifically on the unique harms associated with deepfake technology. Moreover, perceptions of harm are often influenced by the third-person effect (TPE) in which individuals believe that others are more susceptible to risks than themselves. This study addresses these gaps by investigating TPE on seniors’ perceptions of deepfake harms from a nuanced approach where deepfakes could lead to physical, financial, emotional, societal and relational harms. An online survey with 153 participants aged 55 years and above revealed that seniors perceived that they were most susceptible to societal harm. Further, the TPE was present in that seniors felt that others were much more likely to encounter the five types of harms than themselves.

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
Pages199-206
Number of pages8
ISBN (Print)9783031941580
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
Volume2525 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

  • Deepfake
  • Harms
  • Seniors
  • Third-person effect

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