“There’s a Rule Book in my Head”
Journalism Ethics Meet A.I. in the Newsroom
Bibliographic Data
| ID | 22010674 |
|---|---|
| Authors | Angela Misri (0009-0007-2277-4313, Toronto Metropolitan University, corresponding author), Nicole Blanchett (0000-0001-9444-2018, Toronto Metropolitan University), April Lindgren (0000-0003-2625-3981, Toronto Metropolitan University) |
| Year | 2026 |
| Volume | 14 |
| Issue | 5 |
| Pages | 811-829 |
| Publication date | 2026-05-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2025.2495693 |
| OpenAlex | W4409827200 |
| Language | EN |
| Citations received | 2 |
| References cited | 50 |
The burgeoning use of artificial intelligence (A.I.) to create journalistic products is challenging the ethical standards in Canadian newsrooms and calling into question the efficacy of existing norms and practice worldwide. Ethical literacy related to the use of A.I. remains low in the industry at large, and with no standardized ethical practice, there is little understanding of how journalistic doxa might need to expand to keep up with technology. Ensuring ethical practice is becoming more critical in a polarized political climate where mis- and disinformation abound, audiences demand transparency, and the very boundaries and definitions of journalism are contested by both journalists and their audiences. Utilizing field theory, through interviews with journalists and analysis of published codes of ethics and existing literature, this article examines how Canadian newsrooms are using A.I., and whether ethical frameworks are adequately evolving alongside technology
Journalism · Media studies · Political science · Sociology · Computer Science · Media Studies and Communication
Making Artificial Intelligence Work for Investigative Journalism
Artificial Intelligence and Journalism
Research and scholarly methods
Bias in data‐driven artificial intelligence systems—An introductory survey
Content analysis and thematic analysis
The Algorithmic Gut Feeling – Articulating Journalistic Doxa and Emerging Epistemic Frictions in AI-Driven Data Work
Imagination, Algorithms and News
Sensing What’s New
Algorithms, Platforms, and Policy
Convergence Culture
Rocking Qualitative Social Science
Pierre Bourdieu
Qualitative Research Practice
The Data Journalism Workforce
Audiovisual verification in the evolution of television newsrooms
Bourdieu and the Journalistic Field
Quantifying Quality
Changing or Reinforcing the “Rules of the Game
Dimensional Field Theory
The Future of Journalism
New(s) Times
Audience Metrics
The Journalistic Gut Feeling
Participative Gatekeeping
Recoding Journalism
When Journalism and Automation Intersect
Interpretations of the journalistic field
Newsroom ethnography in a field perspective
Is It Us or Them? The Challenge of Getting Journalists to Participate in Academic Research
Machine Habitus
Intellectual field and creative project
How and Why Interviews Work
Short-Term Ethnography
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |