Understanding Seniors’ Strategies for Identifying Deepfakes

Zhong Tang; Dion Hoe Lian Goh; Chei Sian Lee; Yihao Yang

doi:10.1007/978-3-031-61947-2_26

Understanding Seniors’ Strategies for Identifying Deepfakes

Zhong Tang^*, Dion Hoe Lian Goh, Chei Sian Lee, Yihao Yang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to fill a gap in existing research by investigating seniors’ perceptions and strategies for detecting deepfakes. The methodology involved interviewing seniors and using qualitative analysis to uncover their identification strategies when presented with real and deepfake videos. The findings reveal five strategies employed by seniors: character appearance, non-human visual elements, audio features, personal knowledge, and external sources. This study contributes insights into how seniors perceive and evaluate video credibility and addresses their unique vulnerabilities when encountering deepfakes.

Original language	English
Title of host publication	HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings
Editors	Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	236-244
Number of pages	9
ISBN (Print)	9783031619465
DOIs	https://doi.org/10.1007/978-3-031-61947-2_26
Publication status	Published - 2024
Externally published	Yes
Event	26th International Conference on Human-Computer Interaction, HCII 2024 - Washington, United States Duration: Jun 29 2024 → Jul 4 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2115 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	26th International Conference on Human-Computer Interaction, HCII 2024
Country/Territory	United States
City	Washington
Period	6/29/24 → 7/4/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

ASJC Scopus Subject Areas

General Computer Science
General Mathematics

Keywords

Deepfakes
misinformation
seniors
video credibility assessment

Access to Document

10.1007/978-3-031-61947-2_26

Cite this

Tang, Z., Goh, D. H. L., Lee, C. S., & Yang, Y. (2024). Understanding Seniors’ Strategies for Identifying Deepfakes. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings (pp. 236-244). (Communications in Computer and Information Science; Vol. 2115 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61947-2_26

Tang, Zhong ; Goh, Dion Hoe Lian ; Lee, Chei Sian et al. / Understanding Seniors’ Strategies for Identifying Deepfakes. HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings. editor / Constantine Stephanidis ; Margherita Antona ; Stavroula Ntoa ; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. pp. 236-244 (Communications in Computer and Information Science).

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title = "Understanding Seniors{\textquoteright} Strategies for Identifying Deepfakes",

abstract = "Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to fill a gap in existing research by investigating seniors{\textquoteright} perceptions and strategies for detecting deepfakes. The methodology involved interviewing seniors and using qualitative analysis to uncover their identification strategies when presented with real and deepfake videos. The findings reveal five strategies employed by seniors: character appearance, non-human visual elements, audio features, personal knowledge, and external sources. This study contributes insights into how seniors perceive and evaluate video credibility and addresses their unique vulnerabilities when encountering deepfakes.",

keywords = "Deepfakes, misinformation, seniors, video credibility assessment",

author = "Zhong Tang and Goh, {Dion Hoe Lian} and Lee, {Chei Sian} and Yihao Yang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 26th International Conference on Human-Computer Interaction, HCII 2024 ; Conference date: 29-06-2024 Through 04-07-2024",

year = "2024",

doi = "10.1007/978-3-031-61947-2_26",

language = "English",

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series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Constantine Stephanidis and Margherita Antona and Stavroula Ntoa and Gavriel Salvendy",

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Tang, Z, Goh, DHL, Lee, CS & Yang, Y 2024, Understanding Seniors’ Strategies for Identifying Deepfakes. in C Stephanidis, M Antona, S Ntoa & G Salvendy (eds), HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings. Communications in Computer and Information Science, vol. 2115 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 236-244, 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, United States, 6/29/24. https://doi.org/10.1007/978-3-031-61947-2_26

Understanding Seniors’ Strategies for Identifying Deepfakes. / Tang, Zhong; Goh, Dion Hoe Lian; Lee, Chei Sian et al.
HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings. ed. / Constantine Stephanidis; Margherita Antona; Stavroula Ntoa; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. p. 236-244 (Communications in Computer and Information Science; Vol. 2115 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Understanding Seniors’ Strategies for Identifying Deepfakes

AU - Tang, Zhong

AU - Goh, Dion Hoe Lian

AU - Lee, Chei Sian

AU - Yang, Yihao

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to fill a gap in existing research by investigating seniors’ perceptions and strategies for detecting deepfakes. The methodology involved interviewing seniors and using qualitative analysis to uncover their identification strategies when presented with real and deepfake videos. The findings reveal five strategies employed by seniors: character appearance, non-human visual elements, audio features, personal knowledge, and external sources. This study contributes insights into how seniors perceive and evaluate video credibility and addresses their unique vulnerabilities when encountering deepfakes.

AB - Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to fill a gap in existing research by investigating seniors’ perceptions and strategies for detecting deepfakes. The methodology involved interviewing seniors and using qualitative analysis to uncover their identification strategies when presented with real and deepfake videos. The findings reveal five strategies employed by seniors: character appearance, non-human visual elements, audio features, personal knowledge, and external sources. This study contributes insights into how seniors perceive and evaluate video credibility and addresses their unique vulnerabilities when encountering deepfakes.

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BT - HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings

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Tang Z, Goh DHL, Lee CS, Yang Y. Understanding Seniors’ Strategies for Identifying Deepfakes. In Stephanidis C, Antona M, Ntoa S, Salvendy G, editors, HCI International 2024 Posters - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 236-244. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-61947-2_26

Understanding Seniors’ Strategies for Identifying Deepfakes

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this