Understanding strategies employed by seniors in identifying deepfakes

Purpose This paper aims to confront the rising threat of deepfake videos, focusing on the limited research on deepfake detection strategies among seniors. The study thus investigates seniors’ video credibility conceptualizations and identifies their deepfake detection strategies. Design/methodology/approach This study employed semi-structured interviews with 20 seniors aged 55 to 70. Areas covered include their perceptions of video information credibility and identification strategies undertaken. Qualitative content analysis was conducted to interpret interview responses. Findings Seniors emphasized the importance of objectivity, trustworthiness, believability, reliability and truthfulness in terms of video credibility. Regarding strategies for assessing video credibility, seniors employed five categories: character appearance, non-human visuals, audio, personal knowledge and external sources. Originality/value This study contributes to the literature on human-oriented deepfake detection strategies by uncovering diverse methods employed by seniors. It enhances the understanding of how individuals assess video credibility in the context of deepfakes. Furthermore, this study offers practical and applicable strategies for real-world deepfake detection.

Authors

Institutions

Publication Details

Journal
Aslib Journal of Information Management
Published
2024-11-21
DOI
https://doi.org/10.1108/ajim-03-2024-0255
Citations
7
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
7.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding strategies employed by seniors in identifying deepfakes

Dion Hoe‐Lian Goh, Chei Sian Lee, Zhong Tang, Yihao Yang
7 citations
Aslib Journal of Information Management
Misinformation and Its Impacts
7.92
article

Understanding strategies employed by seniors in identifying deepfakes

Dion Hoe‐Lian Goh, Chei Sian Lee, Zhong Tang, Yihao Yang
article en
7 citations

Abstract

Purpose This paper aims to confront the rising threat of deepfake videos, focusing on the limited research on deepfake detection strategies among seniors. The study thus investigates seniors’ video credibility conceptualizations and identifies their deepfake detection strategies. Design/methodology/approach This study employed semi-structured interviews with 20 seniors aged 55 to 70. Areas covered include their perceptions of video information credibility and identification strategies undertaken. Qualitative content analysis was conducted to interpret interview responses. Findings Seniors emphasized the importance of objectivity, trustworthiness, believability, reliability and truthfulness in terms of video credibility. Regarding strategies for assessing video credibility, seniors employed five categories: character appearance, non-human visuals, audio, personal knowledge and external sources. Originality/value This study contributes to the literature on human-oriented deepfake detection strategies by uncovering diverse methods employed by seniors. It enhances the understanding of how individuals assess video credibility in the context of deepfakes. Furthermore, this study offers practical and applicable strategies for real-world deepfake detection.

Aslib Journal of Information ManagementVol. 78(2)
Nanyang Technological University (SG), Jilin University (CN), Jilin Medical University (CN)
Openalex Percentile: Top 3%
Misinformation and Its Impacts
7.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.