Journal
PSYCHOLOGY AND AGING
Volume 37, Issue 3, Pages 326-337Publisher
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/pag0000682
Keywords
image manipulation; fake photos; visual processing; human perception; aging
Categories
Funding
- Economic and Social Research Council Postgraduate Studentship
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This study suggests that people have limited ability to distinguish between genuine and manipulated images, with older adults performing slightly worse than younger and middle-aged adults. A short video intervention can marginally improve performance. The study also found that different age groups use different strategies, which may account for age differences in accuracy.
Public Significance Statement This study suggests that people have a limited ability to discriminate genuine from manipulated images of real-world scenes, and older adults' ability is slightly poorer than younger and middle-aged adults. When people are warned - via a short video intervention - about common types of image manipulations, performance improves marginally. Further research is required to account for age-related differences and to develop ways to improve people's ability to determine image authenticity. Manipulated images can have serious and persistent ramifications across many domains: They have undermined trust in political campaigns, incited fear and violence, and fostered dangerous global movements. Despite growing concern about the power of manipulated images to influence people's beliefs and behavior, few studies have examined whether people can detect manipulations and the psychological processes underpinning this task. We asked 5,291 older adults, 5,291 middle-aged adults, and 5,291 young adults to detect and locate manipulations within images of real-world scenes. To determine whether a simple intervention could improve people's ability to detect manipulations, some participants viewed a short video which described the five common manipulation techniques used in the present study. Overall, participants demonstrated a limited ability to distinguish between original and manipulated images. Older adults were less accurate in detecting and locating manipulations than younger and middle-aged adults, and the effect of age varied by manipulation type. The video intervention improved performance marginally. Participants were often overconfident in their decisions, despite having limited ability to detect manipulations. Older adults were more likely than younger and middle-aged adults to report checking for shadow/lighting inconsistencies, a strategy that was not associated with improved discriminability, and less likely to report using other strategies (e.g., photometric inconsistencies) that were associated with improved discriminability. Differences in strategy use might help to account for the age differences in accuracy. Further research is needed to advance our understanding of the psychological mechanisms underlying image manipulation detection and the myriad factors that may enhance or impair performance.
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