Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes

We examine how individual differences influence perceived accuracy of deepfake claims and sharing intention. Rather than political deepfakes, we use a non-political deepfake of a social media influencer as the stimulus, with an educational and a deceptive condition. We find that individuals are more...

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Main Author: Ahmed, Saifuddin
Other Authors: Wee Kim Wee School of Communication and Information
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/159971
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1599712022-07-06T07:32:28Z Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes Ahmed, Saifuddin Wee Kim Wee School of Communication and Information Social sciences::Communication Social media Deep Fakes We examine how individual differences influence perceived accuracy of deepfake claims and sharing intention. Rather than political deepfakes, we use a non-political deepfake of a social media influencer as the stimulus, with an educational and a deceptive condition. We find that individuals are more likely to perceive the deepfake claim to be true when informative cues are missing along with the deepfake (compared to when they are present). Also, individuals are more likely to share deepfakes when they consider the fabricated claim to be accurate. Moreover, we find that cognitive ability plays a moderating role such that when informative cues are present (educational condition), individuals with high cognitive ability are less trustful of deepfake claims. Unexpectedly, when the informative cues are missing (deceptive condition), these individuals are more likely to consider the claim to be true and share them. The findings suggest that adding corrective labels can help reduce inadvertent sharing of disinformation. Also, user biases should be considered in understanding public engagement with disinformation. Nanyang Technological University The study was funded by Nanyang Technological University - start up grant. 2022-07-06T07:32:28Z 2022-07-06T07:32:28Z 2021 Journal Article Ahmed, S. (2021). Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes. Personality and Individual Differences, 182, 111074-. https://dx.doi.org/10.1016/j.paid.2021.111074 0191-8869 https://hdl.handle.net/10356/159971 10.1016/j.paid.2021.111074 2-s2.0-85108447305 182 111074 en Personality and Individual Differences © 2021 Elsevier Ltd. All rights reserved
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Communication
Social media
Deep Fakes
spellingShingle Social sciences::Communication
Social media
Deep Fakes
Ahmed, Saifuddin
Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
description We examine how individual differences influence perceived accuracy of deepfake claims and sharing intention. Rather than political deepfakes, we use a non-political deepfake of a social media influencer as the stimulus, with an educational and a deceptive condition. We find that individuals are more likely to perceive the deepfake claim to be true when informative cues are missing along with the deepfake (compared to when they are present). Also, individuals are more likely to share deepfakes when they consider the fabricated claim to be accurate. Moreover, we find that cognitive ability plays a moderating role such that when informative cues are present (educational condition), individuals with high cognitive ability are less trustful of deepfake claims. Unexpectedly, when the informative cues are missing (deceptive condition), these individuals are more likely to consider the claim to be true and share them. The findings suggest that adding corrective labels can help reduce inadvertent sharing of disinformation. Also, user biases should be considered in understanding public engagement with disinformation.
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Ahmed, Saifuddin
format Article
author Ahmed, Saifuddin
author_sort Ahmed, Saifuddin
title Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
title_short Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
title_full Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
title_fullStr Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
title_full_unstemmed Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
title_sort fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes
publishDate 2022
url https://hdl.handle.net/10356/159971
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