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Real or Fake: Eliciting Deepfake Identification Strategies through a Diary Study.

Authors :
Zeng, Ruoyao
Song, Siyi
Guo, Zhengxi
Goh, Dion Hoe‐Lian
Lee, Chei Sian
Source :
Proceedings of the Association for Information Science & Technology; Oct2023, Vol. 60 Issue 1, p1206-1208, 3p
Publication Year :
2023

Abstract

The prevalence of deepfake technology has led to concerns about the ability of people to spot real videos from fakes. We address these concerns through a diary study to elicit strategies people use to identify deepfake and real videos. Results indicate that different strategies were associated with deepfake and real video identification. Interestingly, popular strategies were often not as effective as less popular ones. Implications of our work are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23739231
Volume :
60
Issue :
1
Database :
Complementary Index
Journal :
Proceedings of the Association for Information Science & Technology
Publication Type :
Conference
Accession number :
173115153
Full Text :
https://doi.org/10.1002/pra2.993