Can Seniors Spot Deepfakes? A Diary Study of Deepfake Identification Strategies

Rachel Wan Ying Chun; Shilan Huang; Dion Hoe Lian Goh; Chei Sian Lee; Yin Leng Theng

doi:10.1002/pra2.1126

Can Seniors Spot Deepfakes? A Diary Study of Deepfake Identification Strategies

Rachel Wan Ying Chun^*, Shilan Huang, Dion Hoe Lian Goh, Chei Sian Lee, Yin Leng Theng

^*Corresponding author for this work

Nanyang Technological University

Research output: Contribution to journal › Article › peer-review

Abstract

Deepfake identification research currently lacks focus on seniors. We address this gap through a diary study to elicit seniors' deepfake identification strategies over three weeks. Results indicate that seniors performed well in identification performance, and over time, were able to integrate multiple strategies, enhancing identification accuracy. Implications of our work are discussed.

Original language	English
Pages (from-to)	877-879
Number of pages	3
Journal	Proceedings of the Association for Information Science and Technology
Volume	61
Issue number	1
DOIs	https://doi.org/10.1002/pra2.1126
Publication status	Published - Oct 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.

ASJC Scopus Subject Areas

General Computer Science
Library and Information Sciences

Keywords

Deepfake videos
Diary study
Identification strategies
Misinformation
Seniors

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10.1002/pra2.1126

Cite this

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abstract = "Deepfake identification research currently lacks focus on seniors. We address this gap through a diary study to elicit seniors' deepfake identification strategies over three weeks. Results indicate that seniors performed well in identification performance, and over time, were able to integrate multiple strategies, enhancing identification accuracy. Implications of our work are discussed.",

keywords = "Deepfake videos, Diary study, Identification strategies, Misinformation, Seniors",

author = "Chun, {Rachel Wan Ying} and Shilan Huang and Goh, {Dion Hoe Lian} and Lee, {Chei Sian} and Theng, {Yin Leng}",

note = "Publisher Copyright: 87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.",

year = "2024",

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doi = "10.1002/pra2.1126",

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AU - Chun, Rachel Wan Ying

AU - Huang, Shilan

AU - Goh, Dion Hoe Lian

AU - Lee, Chei Sian

AU - Theng, Yin Leng

N1 - Publisher Copyright: 87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.

PY - 2024/10

Y1 - 2024/10

N2 - Deepfake identification research currently lacks focus on seniors. We address this gap through a diary study to elicit seniors' deepfake identification strategies over three weeks. Results indicate that seniors performed well in identification performance, and over time, were able to integrate multiple strategies, enhancing identification accuracy. Implications of our work are discussed.

AB - Deepfake identification research currently lacks focus on seniors. We address this gap through a diary study to elicit seniors' deepfake identification strategies over three weeks. Results indicate that seniors performed well in identification performance, and over time, were able to integrate multiple strategies, enhancing identification accuracy. Implications of our work are discussed.

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KW - Diary study

KW - Identification strategies

KW - Misinformation

KW - Seniors

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Can Seniors Spot Deepfakes? A Diary Study of Deepfake Identification Strategies

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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