Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes
Through long-form, creative, high-quality stories, slow journalism seeks to counteract the effects of speed and immediacy in news production and consumption primarily driven by technological advancements. The advantages of artificial intelligence (AI) in journalism include generating and enhancing c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Journalism and Media |
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| Online Access: | https://www.mdpi.com/2673-5172/5/4/111 |
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| author | Iban Albizu-Rivas Sonia Parratt-Fernández Montse Mera-Fernández |
| author_facet | Iban Albizu-Rivas Sonia Parratt-Fernández Montse Mera-Fernández |
| author_sort | Iban Albizu-Rivas |
| collection | DOAJ |
| description | Through long-form, creative, high-quality stories, slow journalism seeks to counteract the effects of speed and immediacy in news production and consumption primarily driven by technological advancements. The advantages of artificial intelligence (AI) in journalism include generating and enhancing content, reducing workloads, and consequently giving journalists more time for non-routine and creative tasks. This raises the question of where AI fits into slow journalism. Twenty-one semi-structured interviews were conducted with practitioners of slow journalism in Spain to explore their use, attitudes, and perceptions of AI in their work. The findings indicate that the interviewees make rudimentary use of AI tools, and their attitudes range from a slight lack of interest to a willingness to learn more about them, alongside concerns regarding ethical boundaries and the potential for job losses. They assert that they have a moral and human responsibility when producing stories that AI cannot enhance in terms of quality, creativity, and emotional depth. It can be concluded that AI offers little to ‘slow’ journalists due to the significant limitations in enhancing long-form reporting. At most, it may enable them to streamline repetitive and non-creative work, thereby allowing the depth required in slow journalism, at least in its current state of development. |
| format | Article |
| id | doaj-art-c9e55090ec6d4c0d88e6cc449f800d3e |
| institution | OA Journals |
| issn | 2673-5172 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journalism and Media |
| spelling | doaj-art-c9e55090ec6d4c0d88e6cc449f800d3e2025-08-20T02:00:46ZengMDPI AGJournalism and Media2673-51722024-12-01541836185010.3390/journalmedia5040111Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and AttitudesIban Albizu-Rivas0Sonia Parratt-Fernández1Montse Mera-Fernández2Department of Journalism and Global Communication, Faculty of Information Sciences, Complutense University of Madrid, 28040 Madrid, SpainDepartment of Journalism and Global Communication, Faculty of Information Sciences, Complutense University of Madrid, 28040 Madrid, SpainDepartment of Journalism and Global Communication, Faculty of Information Sciences, Complutense University of Madrid, 28040 Madrid, SpainThrough long-form, creative, high-quality stories, slow journalism seeks to counteract the effects of speed and immediacy in news production and consumption primarily driven by technological advancements. The advantages of artificial intelligence (AI) in journalism include generating and enhancing content, reducing workloads, and consequently giving journalists more time for non-routine and creative tasks. This raises the question of where AI fits into slow journalism. Twenty-one semi-structured interviews were conducted with practitioners of slow journalism in Spain to explore their use, attitudes, and perceptions of AI in their work. The findings indicate that the interviewees make rudimentary use of AI tools, and their attitudes range from a slight lack of interest to a willingness to learn more about them, alongside concerns regarding ethical boundaries and the potential for job losses. They assert that they have a moral and human responsibility when producing stories that AI cannot enhance in terms of quality, creativity, and emotional depth. It can be concluded that AI offers little to ‘slow’ journalists due to the significant limitations in enhancing long-form reporting. At most, it may enable them to streamline repetitive and non-creative work, thereby allowing the depth required in slow journalism, at least in its current state of development.https://www.mdpi.com/2673-5172/5/4/111slow journalismnarrative journalismin-depth journalismartificial intelligencejournalistsSpain |
| spellingShingle | Iban Albizu-Rivas Sonia Parratt-Fernández Montse Mera-Fernández Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes Journalism and Media slow journalism narrative journalism in-depth journalism artificial intelligence journalists Spain |
| title | Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes |
| title_full | Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes |
| title_fullStr | Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes |
| title_full_unstemmed | Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes |
| title_short | Artificial Intelligence in Slow Journalism: Journalists’ Uses, Perceptions, and Attitudes |
| title_sort | artificial intelligence in slow journalism journalists uses perceptions and attitudes |
| topic | slow journalism narrative journalism in-depth journalism artificial intelligence journalists Spain |
| url | https://www.mdpi.com/2673-5172/5/4/111 |
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