PHOTOFAKE

Status
Completed
Duration
01.06.2021–15.12.2025

How can images inform us if we cannot see whether they are captured by a camera or generated or altered by AI?

Two men sitting in a sofa, one is sewing. Black and white photo.

Have Arnold Schwarzenegger and Sylvester Stallone played in a Chaplin style film together? New technology helps convey the impression that they have. (Image: Brian Monarch)

Contact

About the project

"PHOTOFAKE – Visual Disinformation, the Digital Economy and the Epistemology of the Camera Image" investigates visual aspects of the current crisis of disinformation.

Audio-visual material, like photos and videos, can appear to be made by cameras, although they are generated or altered by digital technologies. AI-generated and altered images add a new dimension to the disinformation crisis.

Verifying visual information

Media organizations struggle to verify visual material in order to contain the potential threat they pose. They do this by developing manuals and best practice for fact-checking visual material. These are aimed at handling a wide range of examples, from the most rudimentary alterations to the AI-enhanced videos of tomorrow.

PhotoFake will offer research-based guidelines for the optimization of such fact-checking manuals and practices. The guidelines will be historically informed and take into account future scenarios for how image alteration and generation-technologies and practices may develop. 

Such scenarios draw on examinations of how photographic technologies and practices are changing – in everyday life, as well as in other domains.

Reviewing the photographic vocabulary 

In order to counter misconceptions Photofake critically interrogates the vocabulary used for discussing visual deception. 

As part of its conceptual work, Photofake also examines the notion of the post-photographic, a term which has gained new traction at a time when AI promises a world in which images that appear to be photographic may not have been produced by cameras.

Research objectives

The research is organized in four efforts which explore:

  • How optimization of contemporary manuals for detecting audiovisual disinformation may be identified, by drawing on the history and theory of film and photography. This involves a critical reassessment of the vocabulary and the implicit media theoretical assumptions underpinning the manuals.
  • How actual practices of fact-checking audio-visual material in news media may be optimized, given internal constraints as well as external pressures from a global digital media ecology largely outside their control. This involves exploring the institutional practices in which the manuals are embedded, including the procedural and technological tools involved.
  • What new alteration technologies and camera practices with deceptive potential are now evolving, in visual cultures online, and in other relevant domains. This, in order to improve the understanding of the technologies and practices journalists and editors must be aware of.
  • Conceptual challenges associated with the vocabulary used to discuss photographic practices at a time in which images that perceptually appear to be photographic are not necessarily produced by traditional cameras and associated techniques. Such challenges will be pursued in dialogue with artists and scholars who now probe AI-informed photographic practices and examine the viability of the term post-photographic. 

Participants

Publications

  • Grut, Ståle (2026). Convergent Epistemic Practices in Visual Fact-Checking. Digital Journalism. ISSN 2167-0811. doi: 10.1080/21670811.2026.2638939. Full text in Research Archive
  • Grut, Ståle (2026). Future Imaginaries of Visual Open Source Investigative Journalism. Digital Journalism. ISSN 2167-0811. p. 19–19. doi: 10.1080/21670811.2026.2636905. Full text in Research Archive
  • Hausken, Liv (2024). Untangling Photographic Manipulation: Exploring a Dual Concept and Its Societal Implications. Journalism and Media. 5(4), p. 1881–1900. doi: 10.3390/journalmedia5040114. Full text in Research Archive
  • Sæther, Susanne Østby (2024). New visions, new ecologies: On materialities and atmospheres in contemporary photography. Philosophy of Photography. ISSN 2040-3682. 14, p. 181–200. doi: 10.1386/pop_00081_1. Full text in Research Archive
  • Hausken, Liv (2024). Photorealism versus photography. AI-generated depiction in the age of visual disinformation. Journal of Aesthetics and Culture. 16(1), p. 1–13. doi: 10.1080/20004214.2024.2340787. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Source-Critical Affordances in Social Media Apps. International Journal of Communication. 18, p. 3960–3981. Full text in Research Archive
  • Hausken, Liv (2024). Navigating the Complex Terrain of Photography and Temporality. Philosophies. 9(3). doi: 10.3390/philosophies9030060. Full text in Research Archive
  • Fetveit, Arild (2023). Uncanny (Inter)Mediality and Photo Futures. Acta Universitatis Sapientiae, Film and Media Studies. ISSN 2065-5924. 24, p. 1–15. doi: 10.2478/ausfm-2023-0011. Full text in Research Archive
  • Bakke, Nils Arne & Barland, Jens (2022). Disruptive Innovations and Paradigm Shifts in Journalism as a Business: From Advertisers First to Readers First and Traditional Operational Models to the AI Factory. Sage Open. 12(2). doi: 10.1177/21582440221094819. Full text in Research Archive

View all works in NVA

  • Grut, Ståle Bjørlykke (2026). Noe har skjedd med nyhetene. Hvor lenge kan vi tro våre egne øyne? [Internet]. Morgenbladet. Full text in Research Archive
  • Hausken, Liv (2025). Ligner mobilbildene stadig mindre på det vi tar bilde av? Mange vet ikke at kunstig intelligens er integrert i mobilkameraene våre. [Journal]. Online avis, Morgenbladet. Full text in Research Archive
  • Hausken, Liv (2025). Rethinking Representations: The Politics of Responsible AI Imaging. doi: https:/digitalsociety.mmu.ac.uk/event/rethinking-representations-the-politics-of-responsible-ai-imaging-keynote-by-prof-liv-hausken/. Full text in Research Archive
  • Hausken, Liv (2025). "Navigating the Intersection of Art and Science: AI and Interdisciplinary Approaches to Photographic Theory". Full text in Research Archive
  • Hausken, Liv (2025). – KI-bilder er ikke falske fotografier - Forskningsnytt. [Internet]. Forskningsnytt. Full text in Research Archive
  • Bakke, Nils Arne & Dahlback, Morten Langfeldt (2025). Trust in fact-based institutions and the challenges of fact-checking - and the case of climate. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2025). Presenting Visual Investigations: Narratives and aesthetics of OSINT in journalism. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2025). Vil ha forbud mot falske bilder på Facebook. [Internet]. TV 2. Full text in Research Archive
  • Hausken, Liv (2024). Unpredictable futures of photography. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Future(s) of Visual Investigative Journalism after Photography's Epistemic Emergency. Full text in Research Archive
  • Sæther, Susanne Østby (2024). En AI-rkivisk impuls? Samtidens fotokunst filtrert gjennom fortidens bilde. Full text in Research Archive
  • Sæther, Susanne Østby (2024). An AI-rchival Impulse? Photographic Futures through the filter of past images. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Kommunikasjon, media og AI - fotorealisme i 2024. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). OSINT-journalistikk: Ny forskning og nye funn. Foredrag hos Faktisk. Full text in Research Archive
  • Fetveit, Arild (2024). Theorizing Camera-Based Evidence in the Age of the Stochastic Parrot. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Ekko: Spørretime om Facebook (NRK P2). [Radio]. NRK P2. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). CAI og Project Origin kjemper mot KI-misbruk med innholdskreditering. [Internet]. NRK. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Visual investigations become a mainstay of news. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Presentation: Convergent Epistemic Practices in Visual Fact-Checking. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2024). Visual Source Criticism. Full text in Research Archive
  • Bakke, Nils Arne (2023). The Future Role of Information Technology and AI in Fact-Checking: A proposed Road-map. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2023). Pressen trenger et oppgjør med dagens bruk av bilder. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2023). The press adopts a new level of transparency around images. Full text in Research Archive
  • Bakke, Nils Arne & Dahlback, Morten Langfeldt (2023). Fact Checking and Fact-based journalism in the age of AI - Introduction. Full text in Research Archive
  • Bakke, Nils Arne & Dahlback, Morten Langfeldt (2023). Innsats mot desinformasjon skapt med kunstig intelligens. Kunnskapsmagasinet Kristiania. Full text in Research Archive
  • Bakke, Nils Arne & Dahlback, Morten Langfeldt (2023). Innsats mot desinformasjon. Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116. Full text in Research Archive
  • Bakke, Nils Arne (2023). Strategi og forretningsmodeller for faktasjekkere. Full text in Research Archive
  • Bakke, Nils Arne & Barland, Jens (2023). Paradigm shifts in Journalism as a Business. [TV]. INMA - International News Media Association. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2023). Kunstig intelligens: Så lett er det å gjøre Abid til Einar. [Internet]. NRK. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2023). Cyberkrigen i norske redaksjoner. Full text in Research Archive
  • Fetveit, Arild & Torstveit, Martin (2023). Mange blei lurt av KI-genererte bilete: – Det er kjempeskummelt! [Internet]. NRK.no. Full text in Research Archive
  • Hausken, Liv (2023). Manipulerte bilder og kunstig intelligens. Full text in Research Archive
  • Fetveit, Arild (2023). Theorizing Camera-Based Evidence. Full text in Research Archive
  • Fetveit, Arild & Eastman, Scott (2023). Epistemic Tensions and Vulnerabilities. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2023). 100 trender som vil prege 2023. [Journal]. Aftenposten, A-magasinet. Full text in Research Archive
  • Hausken, Liv (2023). Amnesty International's AI-Generated Images: A Critical Assessment. Full text in Research Archive
  • Hausken, Liv & Sørlie, Thale Elisabeth (2023). Paneldebatt i forbindelse med Lansering av temanummer om Fotografi i tidsskriftet Arr. Idéhistorisk tidsskrift. [Journal]. Paneldebatt fysisk på Chateau Neuf. Full text in Research Archive
  • Hausken, Liv & Lilleslåtten, Mari (2023). Vi oversvømmes av manipulerte bilder. Hva så? [Internet]. Podcast: Universitetspodden. Full text in Research Archive
  • Hausken, Liv (2023). Photofake. Full text in Research Archive
  • Hausken, Liv & Stjern, Anna (2023). Medieforsker mener debatten om KI-bilder er litt hysterisk. [Internet]. Journalisten.no. Full text in Research Archive
  • Hausken, Liv & Lilleslåtten, Mari (2023). Medieforsker: – Ikke del bilder som er laget av kunstig intelligens. [Internet]. forskning.no. Full text in Research Archive
  • Bakke, Nils Arne (2022). The business process model of fact-checking: A process analysis of FAKTISK.no. Full text in Research Archive
  • Hausken, Liv (2022). Manipulerte bilder. Full text in Research Archive
  • Moen, Morten (2022). Fremtiden for filmproduksjon kan ligge i deepfakes og kunstig intelligens. Forskning.no. ISSN 1891-635X. Full text in Research Archive
  • Fetveit, Arild (2022). Photographic Futures: In the Crystal Ball of Photography Academies. Full text in Research Archive
  • Fetveit, Arild (2022). Photographic Futures: Preliminary Notes and Questions. Full text in Research Archive
  • Fetveit, Arild (2022). Uncanny (Inter)Mediality and Photo Futures. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2022). Derfor gikk politivideoen viralt: – Sjokkeffekt. [Internet]. TV 2. Full text in Research Archive
  • Moen, Morten (2022). DeepFakes og kunstig intelligens i filmproduksjon. Kunnskapsmagasinet Kristiania. Full text in Research Archive
  • Grut, Ståle Bjørlykke (2022). Norske medier har oppdaget verdien av brukerskapt innhold. Nå hviler det tyngste ansvaret på redaktørene. Full text in Research Archive
  • Hausken, Liv; Steensen, Steen & Følstad, Asbjørn (2021). Forskning vs. fake news (paneldebatt). Full text in Research Archive
  • Hausken, Liv; Svenungsen, Bjørn; Gjesvik, Lars & Kalsnes, Bente (2021). “The Perils and Pitfalls of Fake News: What can be a democratic remedy?” (Paneldebatt) Også annonsert med tittelen: "Fighting Fake News: At What Cost?". Full text in Research Archive
  • Hausken, Liv (2020). Deepfake, Photography, and Society. Full text in Research Archive
  • Hausken, Liv (2019). «Hvorfor kritisk bildekompetanse er viktig for demokratiet». Full text in Research Archive

View all works in NVA

Funding

Funded by The Research Council of Norway

Project number: 316376

Collaborators

The project is coordinated by the Kristiania University College (HK); and led by Arild Fetveit. The Department of Media and Communication (IMK) is a partner in the project with Professor Liv Hausken leading the Department's research effort.

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Published Nov. 12, 2024 1:12 PM - Last modified Jan. 7, 2026 10:24 AM