Work

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

Year: 2024

Type: article

Abstract: 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.

Source: Proceedings of the Association for Information Science and Technology

DOI: 10.1002/pra2.1126

Authors: Rachel Wan Ying Chun, Shilan Huang, Dion Hoe‐Lian Goh, Chei Sian Lee, Yin‐Leng Theng

Institution: Nanyang Technological University

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: Ministry of Education - Singapore, Ministry of Education, India

Award: G6854926366