Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
Descriptor
| Accuracy | 2 |
| Familiarity | 2 |
| Identification | 2 |
| Acoustics | 1 |
| Adults | 1 |
| Age Differences | 1 |
| Artificial Intelligence | 1 |
| Auditory Perception | 1 |
| Computer Security | 1 |
| Deception | 1 |
| Decision Making | 1 |
| More ▼ | |
Author
| Brian Puckett | 1 |
| Bryson R. Payne | 1 |
| Cathryn Allen | 1 |
| Chuck Robertson | 1 |
| Erica Ryherd | 1 |
| Melissa Baese-Berk | 1 |
| Natalie A. Manley | 1 |
| Sydney Perry | 1 |
| Tamirat Abegaz | 1 |
| Tessa Bent | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textCathryn Allen; Bryson R. Payne; Tamirat Abegaz; Chuck Robertson – Journal of Cybersecurity Education, Research and Practice, 2024
Research indicates that deceitful videos tend to spread rapidly online and influence people's opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers' capability to distinguish deepfake videos from genuine video…
Descriptors: Deception, Information Security, Video Technology, Computer Security
Direct linkTessa Bent; Melissa Baese-Berk; Brian Puckett; Erica Ryherd; Sydney Perry; Natalie A. Manley – Cognitive Research: Principles and Implications, 2024
Word identification accuracy is modulated by many factors including linguistic characteristics of words (frequent vs. infrequent), listening environment (noisy vs. quiet), and listener-related differences (older vs. younger). Nearly, all studies investigating these factors use high-familiarity words and noise signals that are either energetic…
Descriptors: Older Adults, Word Recognition, Medicine, Vocabulary
