Is it real? A study on detecting deepfake videos

被引：6

作者：

Thaw N.N. ^{[1
]}

July T. ^{[1
]}

Wai A.N. ^{[1
]}

Goh D.H.-L. ^{[1
]}

Chua A.Y.K. ^{[1
]}

机构：

[1] Nanyang Technological University, Singapore

来源：

Proceedings of the Association for Information Science and Technology | 2020年 / 57卷 / 01期

关键词：

Deepfake videos; detection; verification strategies;

D O I：

10.1002/pra2.366

中图分类号：

学科分类号：

摘要：

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. 83rd Annual Meeting of the Association for Information Science & Technology October 25-29, 2020. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.

引用

共 3 条

[1]

Chesney R., Citron D., Deepfakes and the new disinformation war: The coming age of post-truth geopolitics, Foreign Affairs, 98, 1, pp. 147-155, (2019)

[2]

Metzger M.J., Making sense of credibility on the web: Models for evaluating online information and recommendations for future research, Journal of the American Society for Information Science and Technology, 58, 13, pp. 2078-2091, (2007)

[3]

Yang X., Li Y., Lyu S., Exposing deep fakes using inconsistent had poses., (2019)

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