Everyday Encounters with Deepfakes : Young People’s Media and Information Literacy Practices with AI-Generated Media
(2025) In Journal of Documentation 81(7). p.216-235- Abstract
- Purpose
This research aims to contribute to the knowledge related to youth’s media and information literacy (MIL) practices when encountering artificial intelligence (AI)-generated media in their everyday life. It specifically examines young people’s engagement with and understanding of deepfakes, seeking to explore their practices for navigating deepfakes in a daily setting.
Design/methodology/approach
Employing a qualitative research strategy, in-depth interviews were conducted to collect empirical material from 20 young participants aged 14–15 years. The empirical data were coded both inductively and deductively, leading to the identification of young people’s doings and sayings as they encounter, respond to and... (More) - Purpose
This research aims to contribute to the knowledge related to youth’s media and information literacy (MIL) practices when encountering artificial intelligence (AI)-generated media in their everyday life. It specifically examines young people’s engagement with and understanding of deepfakes, seeking to explore their practices for navigating deepfakes in a daily setting.
Design/methodology/approach
Employing a qualitative research strategy, in-depth interviews were conducted to collect empirical material from 20 young participants aged 14–15 years. The empirical data were coded both inductively and deductively, leading to the identification of young people’s doings and sayings as they encounter, respond to and understand deepfakes.
Findings
The findings highlight the young participants’ serendipitous exposure to, and subsequent engagement with, deepfake content in their everyday lives, particularly through the situations, platforms and types of content in which these encounters occurred. While interaction with deepfake content was mostly characterized as casual, there are also more active responses to encountering deepfakes. Additionally, the results shed light on the participants’ understandings of deepfakes, particularly in terms of content creation, societal impact and underlying AI techniques. This understanding is proposed as a critical sub-element within the MIL framework in this study.
Originality/value
This study stresses the complexities of young people’s everyday MIL practices with emerging media, pointing to the inherent challenges they face in navigating an increasingly complicated information landscape.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2941c7ff-4aa3-44aa-b546-c3762e637735
- author
- Lao, Yucong ; Hirvonen, Noora and Larsson, Stefan LU
- organization
- publishing date
- 2025-05-08
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- media and information literacy, Information practice, Generative AI, AI-generated media, Deepfake, young people
- in
- Journal of Documentation
- volume
- 81
- issue
- 7
- pages
- 20 pages
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- scopus:105004686399
- ISSN
- 0022-0418
- DOI
- 10.1108/JD-01-2025-0007
- language
- English
- LU publication?
- yes
- id
- 2941c7ff-4aa3-44aa-b546-c3762e637735
- date added to LUP
- 2025-04-18 18:44:50
- date last changed
- 2025-07-12 04:01:18
@article{2941c7ff-4aa3-44aa-b546-c3762e637735, abstract = {{Purpose<br/>This research aims to contribute to the knowledge related to youth’s media and information literacy (MIL) practices when encountering artificial intelligence (AI)-generated media in their everyday life. It specifically examines young people’s engagement with and understanding of deepfakes, seeking to explore their practices for navigating deepfakes in a daily setting.<br/><br/>Design/methodology/approach<br/>Employing a qualitative research strategy, in-depth interviews were conducted to collect empirical material from 20 young participants aged 14–15 years. The empirical data were coded both inductively and deductively, leading to the identification of young people’s doings and sayings as they encounter, respond to and understand deepfakes.<br/><br/>Findings<br/>The findings highlight the young participants’ serendipitous exposure to, and subsequent engagement with, deepfake content in their everyday lives, particularly through the situations, platforms and types of content in which these encounters occurred. While interaction with deepfake content was mostly characterized as casual, there are also more active responses to encountering deepfakes. Additionally, the results shed light on the participants’ understandings of deepfakes, particularly in terms of content creation, societal impact and underlying AI techniques. This understanding is proposed as a critical sub-element within the MIL framework in this study.<br/><br/>Originality/value<br/>This study stresses the complexities of young people’s everyday MIL practices with emerging media, pointing to the inherent challenges they face in navigating an increasingly complicated information landscape.<br/>}}, author = {{Lao, Yucong and Hirvonen, Noora and Larsson, Stefan}}, issn = {{0022-0418}}, keywords = {{media and information literacy; Information practice; Generative AI; AI-generated media; Deepfake; young people}}, language = {{eng}}, month = {{05}}, number = {{7}}, pages = {{216--235}}, publisher = {{Emerald Group Publishing Limited}}, series = {{Journal of Documentation}}, title = {{Everyday Encounters with Deepfakes : Young People’s Media and Information Literacy Practices with AI-Generated Media}}, url = {{https://lup.lub.lu.se/search/files/219498346/Lao_Hirvonen_Larsson_2025_Everyday_encounters_with_deepfakes_young_people_s_media_and_information_literacy_practices_with_AI-generated_media.pdf}}, doi = {{10.1108/JD-01-2025-0007}}, volume = {{81}}, year = {{2025}}, }