Old Threats, New Name? Generative AI and Visual Journalism
Dados Bibliográficos
| ID | 12909403 |
|---|---|
| Autores | Philip Matich (0000-0003-2015-3736, Queensland University of Technology), Tony Thomson (0000-0003-3913-3030, MIT University, autor correspondente), Ryan J Thomas (0000-0001-5228-631X, Washington State University) |
| Ano | 2025 |
| Volume | 19 |
| Fascículo | 10 |
| Páginas | 2402-2421 |
| Data de publicação | 2025-01-11 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journalism Practice (JOURNAL) |
| Identificadores do periódico | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Editora | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17512786.2025.2451677 |
| OpenAlex | W4406274907 |
| Idioma | EN |
| Citações recebidas | 15 |
| Referências citadas | 80 |
Generative AI applications have been hailed as “transformative,” “disruptive,” and posing a “threat to human journalists and media professionals.” Much of this discourse reflects longstanding concerns about the impact of technological change on both the production and consumption ends of journalism. Perhaps nowhere is this felt more strongly than in visual journalism, where fears about AI replacing cameras and associated implications are rife. These concerns resemble earlier debates about visual technologies, from the smartphone camera to social media, and intersect with fundamental debates about journalism’s boundaries and norms: what news “is,” how it is produced, and what we expect it to achieve. Amidst this hype and anxiety, we offer an analysis of AI’s risks to visual journalism that contextualises this technology against journalism’s existing tensions. Our study asks: How unique are the threats that generative AI poses to visual news? Specifically, we look across academic disciplines to interrogate three threats that are especially prevalent in the literature. Our conceptual evaluation is benefited empirically by dozens of industry perspectives spanning three continents, and allows us to identify exactly which threats, if any, that generative AI poses to visual journalism are new, and which are extant threats folded into more longstanding discourses
Citizen journalism · Generative grammar · Internet privacy · Journalism · Media studies · Political science · Sociology · Computer Science · Law · Media Influence and Health · Media Studies and Communication · Misinformation and Its Impacts · Artificial Intelligence
Opinion, balance and fairness
Video Reuse As Routine
Reality Re-Imag(in)ed. Mapping Publics’ Perceptions and Evaluations of AI-Generated Images in News Contexts
How Does GenAI “See” Climate Change
How AI’s reporting Differs
From Actors to Context
“@?”
The Time Dimension of Visual Journalism
Conceptualizing Fidelity
Shifting the Gaze? Photojournalism Practices in the Age of Artificial Intelligence
Unpacking the Practices of Constructive Journalism to Reach Young People with News
Computer-mediated representations
Generative AI and the Future of News
It Would Be Like Calling a Reporter a Notebook”
Visual violence in global politics
Visual Persuasion
Digital Disconnect
Artificial Intelligence in News Media
Policing the Crisis
Generative-AI, the media industries, and the disappearance of human creative labour
Enabling and Empowering Lens-based Workers
The perils of legally defining disinformation
Generative Visual AI in News Organizations
The One Thing Journalistic AI Just Might Do for Democracy
Towards a Normative Perspective on Journalistic AI
Fake news as an informational moral panic
Guiding the way
ChatGPT
Understanding Innovations in Journalistic Practice
The Epistemology of Fake News
Detection of a change in photorealism 1
Mapping the Scholarship of Fake News Research
Automated fact‐checking
Stop studying “fake news” (we can still fight against disinformation in the media)
Photorealism versus photography. AI-generated depiction in the age of visual disinformation
Beyond (Mis)Representation
I believe in faking”
Magnum Distributions, 1947–1960
Conjecturing Fearful Futures
Visual Mis/disinformation in Journalism and Public Communications
Freelance Photojournalists and Photo Editors
From Novelty to Normalization? How Journalists Use the Term “Fake News” in their Reporting
Normative paradoxes in 360° journalism
Autopsy of a metaphor
Real Pictures of Current Events’
Fake News is Not a Virus
Reading American Photographs
Metajournalistic Discourse and the Meanings of Journalism
Locating The Journalism in Citizen Photojournalism
From Cronkite to Colbert
Journalism's “Last” Stand
Visual Gatekeeping – Selection of News Photographs at a Flemish Newspaper
News Algorithms, Photojournalism and the Assumption of Mechanical Objectivity in Journalism
The Visual Power of News Agencies
A Faster Kind of Photojournalism
What Does a Journalist Look like? Visualizing Journalistic Roles through AI
Post-industrial fog
Picturing a quality local news visual
An Agenda for Studying Credibility Perceptions of Visual Misinformation
A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media
What is misinformation and disinformation? Understanding multi-stakeholders’ perspectives in the Asia Pacific
The "Infodemic" Infodemic
Generative AI and the politics of visibility
Social Media and Fake News in the 2016 Election
Making News
| Obras citantes distintas | 15 |
|---|---|
| Citações por ano | 15 |
| Intervalo de citações | 2025 - 2026 (2) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 14 |