Revisiting the Algorithms Behind the Headlines. How Journalists Respond to Professional Competition of Generative AI
Bibliographic Data
| ID | 12909019 |
|---|---|
| Authors | Arjen Van Dalen (0000-0001-5785-2245, University of Southern Denmark, corresponding author) |
| Year | 2024 |
| Volume | 20 |
| Issue | 3 |
| Pages | 897-914 |
| Publication date | 2024-08-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journalism Practice (JOURNAL) |
| Journal identifiers | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17512786.2024.2389209 |
| OpenAlex | W4401586863 |
| Language | EN |
| Citations received | 25 |
| References cited | 39 |
Due to its ability to process and create human-like texts, Generative AI such as ChatGPT is a potential game changer in news making. This paper re-examines central research areas that were analyzed around the emergence of earlier versions of automated news writing in the 2012 article The Algorithms behind the Headlines. The current paper employs a sociology of professions- and boundary work- perspective to understand how journalists (re)assert their professional authority in the face of Generative AI. An analysis of metajournalistic discourse where journalists reflect on their profession in the light of ChatGPT's launch shows that journalists saw Generative AI as a larger threat to their profession than previous forms of automated news writing. They strongly defended their authoritative position over the societal task of information provision, either by reaffirming journalists as a professional collective, or by focusing on journalists as individuals with a unique tone of voice. While rejecting the idea of algorithmic objectivity, humanness served as a shortcut for originality. Journalists argued that they should remain firmly in the loop when Generative AI is integrated in news making. The new technical possibilities of Generative AI were not accommodated in the journalistic profession by broadening the understanding of journalism
Citizen journalism · Epistemology · Generative grammar · Journalism · Media studies · News media · Objectivity (philosophy · Originality · Political science · Public relations · Social science · Sociology · Technical Journalism · Computational and Text Analysis Methods · Computer Science · Ethics and Social Impacts of AI · Law · Media Studies and Communication · Artificial Intelligence
AI byline, human content
Artificial intelligence technologies in newsrooms
Ethics and journalistic challenges in the age of artificial intelligence
How Media Unions Stabilize Technological Hype Tracing Organized Journalism’s Discursive Constructions of Generative Artificial Intelligence
Dancing with AI
New Technology and Work
Between Anticipation and Impact
Who triggers the hostile media effect in the generative AI era? Examining stance congruence, AI and human news writer and actor diversity in China
Three Identity Groups
“I Think It’s Exciting and Frightening at the Same Time”
Going with the Mainstream
The How and Why of Generative AI
Learning to report with AI
Experts’ boundary work on social media
AI Governance in Journalism
The Effects of Generative AI in News on Media Credibility and Selectivity
The Intersection of AI, Ethics, and Journalism
Not Here to Babysit a Robot”
Generative Artificial Intelligence and the Media Digital Divide
AI in Media Consumption
Deprofessionalization of U.S. Sports Journalism? Exploring Metajournalistic Discourse Through the Case of Sports Illustrated and Generative AI
Can AI-Attributed News Challenge Partisan News Selection? Evidence from a Conjoint Experiment
Reporting AI in Political Disinformation
Developing Effective and Value-Aligned AI Tools for Journalists
Can Artificial Intelligence (AI) Spring an Oasis to the Local News Deserts
Boundary Work
Professionalism, Professional Identity, and Journalistic Roles
Automating the News
The System of Professions
Intrusion of software robots into journalism
I, Robot. You, Journalist. Who is the Author?
Decades of Automation in the Newsroom
The Uncanny Valley [From the Field]
The Relevance of Algorithms
The hype cycle model
The Relevance of Algorithms
When Reporters Get Hands-on with Robo-Writing
Robots in the News and Newsrooms
AI ‘Everywhere and Nowhere’
A Case of Claims and Facts
Collaborating With ChatGPT
Enter the Robot Journalist
Enthusiasm and Alienation
The Algorithms Behind the Headlines
Journalism and Blogging
News Automation and Algorithmic Transparency in the Newsroom
Journalists at Work. Specialist Correspondents
Machines don’t have instincts
Competition, Complementarity or Integration
Automating judgment? Algorithmic judgment, news knowledge, and journalistic professionalism
The Robotic Reporter
Metajournalistic Discourse and the Meanings of Journalism
Human Still in the Loop
Assistance or Resistance? Evaluating the Intersection of Automated Journalism and Journalistic Role Conceptions
What Makes a Reporter Human
The Handbook of Journalism Studies
Automated Journalism in UK Local Newsrooms
Newsroom Engineering Teams as “Survival Entities” for Journalism? Mapping the Process of Institutionalization at The Washington Post
Who are these guys? The online challenge to the notion of journalistic professionalism
Our task is to demystify fears
What is journalism
| Unique citing works | 25 |
|---|---|
| Citations per year | 12,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 25 |