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AI and authenticity : Young people’s practices of information credibility assessment of AI-generated video content

Lao, Yucong ; Hirvonen, Noora and Larsson, Stefan LU (2025) In Journal of Information Science p.1-15
Abstract
The breakthroughs in generative artificial intelligence (AI) technologies have enabled the creation of hyper-realistic media content that credibly mimics human beings. As AI-generated media (AGM) become more accessible on social media platforms, concerns about young people’s capabilities to deal with mis- and disinformation are rising. This study aims to investigate young people’s practices to assess the credibility of AGM. This study applies interviews with an experiment offering two selected videos to investigate young people’s strategies for verifying the authenticity of AI-generated deepfake videos. In addition, it examines their reflections on the implications of such media. The results indicate how young people verify the... (More)
The breakthroughs in generative artificial intelligence (AI) technologies have enabled the creation of hyper-realistic media content that credibly mimics human beings. As AI-generated media (AGM) become more accessible on social media platforms, concerns about young people’s capabilities to deal with mis- and disinformation are rising. This study aims to investigate young people’s practices to assess the credibility of AGM. This study applies interviews with an experiment offering two selected videos to investigate young people’s strategies for verifying the authenticity of AI-generated deepfake videos. In addition, it examines their reflections on the implications of such media. The results indicate how young people verify the authenticity of AGM based on image, sound, narrative and intuition, and how they sense mis- and disinformation from three main perspectives: techniques, consequences and associated people. This study contributes to the exploration of AGM from the perspective of young people’s media and information literacy practices. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
AI literacy, AI-generated media, credibility assessment, authenticity, authenticity studies, AI-generated deepfake, young people’s media and information literacy practices
in
Journal of Information Science
pages
15 pages
publisher
SAGE Publications
ISSN
0165-5515
language
English
LU publication?
yes
id
ecdbd63c-54b6-44c9-8769-2124e0052e66
date added to LUP
2025-03-21 09:09:13
date last changed
2025-05-14 12:28:05
@article{ecdbd63c-54b6-44c9-8769-2124e0052e66,
  abstract     = {{The breakthroughs in generative artificial intelligence (AI) technologies have enabled the creation of hyper-realistic media content that credibly mimics human beings. As AI-generated media (AGM) become more accessible on social media platforms, concerns about young people’s capabilities to deal with mis- and disinformation are rising. This study aims to investigate young people’s practices to assess the credibility of AGM. This study applies interviews with an experiment offering two selected videos to investigate young people’s strategies for verifying the authenticity of AI-generated deepfake videos. In addition, it examines their reflections on the implications of such media. The results indicate how young people verify the authenticity of AGM based on image, sound, narrative and intuition, and how they sense mis- and disinformation from three main perspectives: techniques, consequences and associated people. This study contributes to the exploration of AGM from the perspective of young people’s media and information literacy practices.}},
  author       = {{Lao, Yucong and Hirvonen, Noora and Larsson, Stefan}},
  issn         = {{0165-5515}},
  keywords     = {{AI literacy; AI-generated media; credibility assessment; authenticity; authenticity studies; AI-generated deepfake; young people’s media and information literacy practices}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{1--15}},
  publisher    = {{SAGE Publications}},
  series       = {{Journal of Information Science}},
  title        = {{AI and authenticity : Young people’s practices of information credibility assessment of AI-generated video content}},
  url          = {{https://lup.lub.lu.se/search/files/217222904/Lao-Hirvonen-Larsson-2025-AI-and-authenticity-young-people-s-practices-of-information-credibility-assessment-of-ai-generated-video.pdf}},
  year         = {{2025}},
}