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Is it real? A study on detecting deepfake videos
Author(s) -
Thaw Nyein Nyein,
July Thin,
Wai Aye Nu,
Goh Dion HoeLian,
Chua Alton Y.K.
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.366
Subject(s) - set (abstract data type) , computer science , exploratory research , artificial intelligence , computer vision , human–computer interaction , sociology , programming language , social science
We present an exploratory study of how people detect deepfake videos. Through watching a set of real and fake videos, and semi‐structured interviews, participants identified a set of characteristics such as blurred faces and unnatural voices, present in deepfake videos. A list of verification strategies, including checking other sources and repeated viewing, were also derived.