Everyday Encounters with Deepfakes: Young People’s Media and Information Literacy Practices with AI-Generated Media
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| Názov: | Everyday Encounters with Deepfakes: Young People’s Media and Information Literacy Practices with AI-Generated Media |
|---|---|
| Autori: | Lao, Yucong, Hirvonen, Noora, Larsson, Stefan |
| Prispievatelia: | Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, AI and Society, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, AI och samhälle, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, Real Estate Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, Fastighetsvetenskap, Originator |
| Zdroj: | Journal of Documentation. 81(7):216-235 |
| Predmety: | Social Sciences, Media and Communications, Information Studies, Samhällsvetenskap, Medie, kommunikations, och informationsvetenskaper, Biblioteks-och informationsvetenskap |
| Popis: | 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. |
| Popis súboru: | electronic |
| Prístupová URL adresa: | https://lucris.lub.lu.se/ws/files/219498346/Lao_Hirvonen_Larsson_2025_Everyday_encounters_with_deepfakes_young_people_s_media_and_information_literacy_practices_with_AI-generated_media.pdf |
| Databáza: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: Everyday Encounters with Deepfakes: Young People’s Media and Information Literacy Practices with AI-Generated Media – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lao%2C+Yucong%22">Lao, Yucong</searchLink><br /><searchLink fieldCode="AR" term="%22Hirvonen%2C+Noora%22">Hirvonen, Noora</searchLink><br /><searchLink fieldCode="AR" term="%22Larsson%2C+Stefan%22">Larsson, Stefan</searchLink> – Name: Author Label: Contributors Group: Au Data: Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, AI and Society, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, AI och samhälle, Originator<br />Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, Real Estate Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, Fastighetsvetenskap, Originator – Name: TitleSource Label: Source Group: Src Data: <i>Journal of Documentation</i>. 81(7):216-235 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Social+Sciences%22">Social Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Media+and+Communications%22">Media and Communications</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Studies%22">Information Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Samhällsvetenskap%22">Samhällsvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Medie%22">Medie</searchLink><br /><searchLink fieldCode="DE" term="%22kommunikations%22">kommunikations</searchLink><br /><searchLink fieldCode="DE" term="%22och+informationsvetenskaper%22">och informationsvetenskaper</searchLink><br /><searchLink fieldCode="DE" term="%22Biblioteks-och+informationsvetenskap%22">Biblioteks-och informationsvetenskap</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://lucris.lub.lu.se/ws/files/219498346/Lao_Hirvonen_Larsson_2025_Everyday_encounters_with_deepfakes_young_people_s_media_and_information_literacy_practices_with_AI-generated_media.pdf" linkWindow="_blank">https://lucris.lub.lu.se/ws/files/219498346/Lao_Hirvonen_Larsson_2025_Everyday_encounters_with_deepfakes_young_people_s_media_and_information_literacy_practices_with_AI-generated_media.pdf</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/JD-01-2025-0007 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 216 Subjects: – SubjectFull: Social Sciences Type: general – SubjectFull: Media and Communications Type: general – SubjectFull: Information Studies Type: general – SubjectFull: Samhällsvetenskap Type: general – SubjectFull: Medie Type: general – SubjectFull: kommunikations Type: general – SubjectFull: och informationsvetenskaper Type: general – SubjectFull: Biblioteks-och informationsvetenskap Type: general Titles: – TitleFull: Everyday Encounters with Deepfakes: Young People’s Media and Information Literacy Practices with AI-Generated Media Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lao, Yucong – PersonEntity: Name: NameFull: Hirvonen, Noora – PersonEntity: Name: NameFull: Larsson, Stefan – PersonEntity: Name: NameFull: Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, AI and Society, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, AI och samhälle, Originator – PersonEntity: Name: NameFull: Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Technology and Society, Real Estate Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för teknik och samhälle, Fastighetsvetenskap, Originator IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 05 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00220418 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: LU_SWEPUB Numbering: – Type: volume Value: 81 – Type: issue Value: 7 Titles: – TitleFull: Journal of Documentation Type: main |
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