Can seniors spot deepfakes? A diary study of deepfake identification strategies

Can seniors spot deepfakes? A diary study of deepfake identification strategies

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...

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Main Authors: Chun, Rachel Wan Ying, Huang, Shilan, Goh, Dion Hoe-Lian, Lee, Chei Sian, Theng, Yin-Leng
Other Authors: Wee Kim Wee School of Communication and Information
Format: Article
Language:English
Published: 2025
Subjects:
Social Sciences
Misinformation
Seniors
Online Access:https://hdl.handle.net/10356/182516
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-182516
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spelling sg-ntu-dr.10356-1825162025-02-05T06:56:26Z Can seniors spot deepfakes? A diary study of deepfake identification strategies Chun, Rachel Wan Ying Huang, Shilan Goh, Dion Hoe-Lian Lee, Chei Sian Theng, Yin-Leng Wee Kim Wee School of Communication and Information Social Sciences Misinformation Seniors 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. Ministry of Education (MOE) This research was supported by the Ministry of Education (Singapore) Tier 2 grant (MOE-T2EP40122-0004). 2025-02-05T06:56:25Z 2025-02-05T06:56:25Z 2024 Journal Article Chun, R. W. Y., Huang, S., Goh, D. H., Lee, C. S. & Theng, Y. (2024). Can seniors spot deepfakes? A diary study of deepfake identification strategies. Proceedings of the Association for Information Science and Technology, 61(1), 877-879. https://dx.doi.org/10.1002/pra2.1126 2373-9231 https://hdl.handle.net/10356/182516 10.1002/pra2.1126 2-s2.0-85206833605 1 61 877 879 en MOE-T2EP40122-0004 Proceedings of the Association for Information Science and Technology © Association for Information Science and Technology (ASIS&T). All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social Sciences
Misinformation
Seniors
spellingShingle Social Sciences
Misinformation
Seniors
Chun, Rachel Wan Ying
Huang, Shilan
Goh, Dion Hoe-Lian
Lee, Chei Sian
Theng, Yin-Leng
Can seniors spot deepfakes? A diary study of deepfake identification strategies
description 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.
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Chun, Rachel Wan Ying
Huang, Shilan
Goh, Dion Hoe-Lian
Lee, Chei Sian
Theng, Yin-Leng
format Article
author Chun, Rachel Wan Ying
Huang, Shilan
Goh, Dion Hoe-Lian
Lee, Chei Sian
Theng, Yin-Leng
author_sort Chun, Rachel Wan Ying
title Can seniors spot deepfakes? A diary study of deepfake identification strategies
title_short Can seniors spot deepfakes? A diary study of deepfake identification strategies
title_full Can seniors spot deepfakes? A diary study of deepfake identification strategies
title_fullStr Can seniors spot deepfakes? A diary study of deepfake identification strategies
title_full_unstemmed Can seniors spot deepfakes? A diary study of deepfake identification strategies
title_sort can seniors spot deepfakes? a diary study of deepfake identification strategies
publishDate 2025
url https://hdl.handle.net/10356/182516
_version_ 1823807388835119104

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