Lynge Asbjørn Møller
Biographic Data
| ID | 4629533 |
|---|---|
| NAME | Lynge Asbjørn Møller |
| GIVEN NAMES | Lynge Asbjørn |
| FAMILY NAME | Møller |
| SIGNATURE | MØLLER L A |
| AFFILIATIONS | University of Southern Denmark |
| ORCID | 0000-0002-1632-2253 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 42 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 5 |
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI
A Little of that Human Touch: How Regular Journalists Redefine Their Expertise in the Face of Artificial Intelligence
Recent advancements in generative artificial intelligence raise fundamental questions about its impact on the journalistic profession and the future role of journalists in news production. However, the attitudes of regular journalists towards artificial intelligence remain largely unexplored. We address this gap by investigating the potentials and concerns that Danish journalists attribute to the impact of artificial intelligence on journalism. J…
Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim
Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework pos…
Designing Algorithmic Editors: How Newspapers Embed and Encode Journalistic Values into News Recommender Systems
Recommender systems are increasingly used to prioritise and personalise content on news websites, and many news organisations develop their own systems to align them with internal logics, values, and goals. Based on two case studies of the development and implementation of recommender systems within the Scandinavian daily press, this study contributes with insights into how news organisations are tailoring this technology to journalism by explori…
Between Personal and Public Interest: How Algorithmic News Recommendation Reconciles with Journalism as an Ideology
Throughout modern history, the introduction of new technologies in journalism has challenged journalistic roles and the normative landscape of journalism, and the emergent use of personalised news recommender systems seems no exception given personalisation’s inherent democratic risk and commercial nature. However, current literature offers limited insight into how these technologies reconcile with the shared ideological norms and beliefs of jour…
Recommended for You: How Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role
This study contributes with in-depth knowledge on how algorithmic news recommendation is adopted within the Scandinavian daily press and how notions of gatekeeping affect the use of these systems. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important ed…
Recommended for You: Investigating the Use of Algorithmic News Recommendation in the Scandinavian Daily Press
This paper investigates the Scandinavian daily press’ efforts in and perspectives on algorithmic news recommendation. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important editorial decisions. Current literature offers only limited empirical insight int…
Recommended for You: How Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role
This study contributes with in-depth knowledge on how algorithmic news recommendation is adopted within the Scandinavian daily press and how notions of gatekeeping affect the use of these systems. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important ed…
A Little of that Human Touch: How Regular Journalists Redefine Their Expertise in the Face of Artificial Intelligence
Recent advancements in generative artificial intelligence raise fundamental questions about its impact on the journalistic profession and the future role of journalists in news production. However, the attitudes of regular journalists towards artificial intelligence remain largely unexplored. We address this gap by investigating the potentials and concerns that Danish journalists attribute to the impact of artificial intelligence on journalism. J…
Between Personal and Public Interest: How Algorithmic News Recommendation Reconciles with Journalism as an Ideology
Throughout modern history, the introduction of new technologies in journalism has challenged journalistic roles and the normative landscape of journalism, and the emergent use of personalised news recommender systems seems no exception given personalisation’s inherent democratic risk and commercial nature. However, current literature offers limited insight into how these technologies reconcile with the shared ideological norms and beliefs of jour…
Designing Algorithmic Editors: How Newspapers Embed and Encode Journalistic Values into News Recommender Systems
Recommender systems are increasingly used to prioritise and personalise content on news websites, and many news organisations develop their own systems to align them with internal logics, values, and goals. Based on two case studies of the development and implementation of recommender systems within the Scandinavian daily press, this study contributes with insights into how news organisations are tailoring this technology to journalism by explori…
Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim
Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework pos…
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI
Recommended for You: Investigating the Use of Algorithmic News Recommendation in the Scandinavian Daily Press
This paper investigates the Scandinavian daily press’ efforts in and perspectives on algorithmic news recommendation. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important editorial decisions. Current literature offers only limited empirical insight int…
Between Personal and Public Interest: How Algorithmic News Recommendation Reconciles with Journalism as an Ideology
Throughout modern history, the introduction of new technologies in journalism has challenged journalistic roles and the normative landscape of journalism, and the emergent use of personalised news recommender systems seems no exception given personalisation’s inherent democratic risk and commercial nature. However, current literature offers limited insight into how these technologies reconcile with the shared ideological norms and beliefs of jour…
Recommended for You: How Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role
This study contributes with in-depth knowledge on how algorithmic news recommendation is adopted within the Scandinavian daily press and how notions of gatekeeping affect the use of these systems. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important ed…
Designing Algorithmic Editors: How Newspapers Embed and Encode Journalistic Values into News Recommender Systems
Recommender systems are increasingly used to prioritise and personalise content on news websites, and many news organisations develop their own systems to align them with internal logics, values, and goals. Based on two case studies of the development and implementation of recommender systems within the Scandinavian daily press, this study contributes with insights into how news organisations are tailoring this technology to journalism by explori…
Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim
Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework pos…
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI
A Little of that Human Touch: How Regular Journalists Redefine Their Expertise in the Face of Artificial Intelligence
Recent advancements in generative artificial intelligence raise fundamental questions about its impact on the journalistic profession and the future role of journalists in news production. However, the attitudes of regular journalists towards artificial intelligence remain largely unexplored. We address this gap by investigating the potentials and concerns that Danish journalists attribute to the impact of artificial intelligence on journalism. J…
Political science (7 works) · Computer Science (6 works) · Media Studies and Communication (6 works) · Sociology (6 works) · Journalism (5 works) · Media studies (5 works) · Public relations (4 works) · Advertising (3 works) · Artificial Intelligence (3 works) · Business (3 works)