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A picture is worth a thousand lies: Using false photographs to create false childhood memories

Overview of attention for article published in Psychonomic Bulletin & Review, September 2002
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8 Wikipedia pages
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Title
A picture is worth a thousand lies: Using false photographs to create false childhood memories
Published in
Psychonomic Bulletin & Review, September 2002
DOI 10.3758/bf03196318
Pubmed ID
Authors

Kimberley A. Wade, Maryanne Garry, J. Don Read, D. Stephen Lindsay

Abstract

Because image-enhancing technology is readily available, people are frequently exposed to doctored images. However, in prior research on how adults can be led to report false childhood memories, subjects have typically been exposed to personalized and detailed narratives describing false events. Instead, we exposed 20 subjects to a false childhood event via a fake photograph and imagery instructions. Over three interviews, subjects thought about a photograph showing them on a hot air balloon ride and tried to recall the event byusing guided-imagery exercises. Fifty percent of the subjects created complete or partial false memories. The results bear on ways in which false memories can be created and also have practical implications for those involved in clinical and legal settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 84 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 382 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Germany 4 1%
United Kingdom 4 1%
Australia 2 <1%
Switzerland 1 <1%
Turkey 1 <1%
Italy 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Other 4 1%
Unknown 358 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 86 23%
Student > Ph. D. Student 61 16%
Student > Master 58 15%
Researcher 36 9%
Student > Postgraduate 18 5%
Other 58 15%
Unknown 65 17%
Readers by discipline Count As %
Psychology 193 51%
Social Sciences 22 6%
Neuroscience 16 4%
Computer Science 11 3%
Medicine and Dentistry 10 3%
Other 58 15%
Unknown 72 19%