Criteria for journalistic quality in the use of artificial intelligence
Year: 2024
Type: article
Abstract: This study aims to assess the persistence of traditional journalistic quality features within the contemporary digital ecosystem. Digital advancements have fundamentally altered media creation, notably with the emergence of artificial intelligence (AI) in newsrooms. AI holds potential for substantial shifts in journalism, impacting business models, dissemination methods, and professional practices. Present in 75% of newsrooms, AI streamlines tasks, allowing more creative time for journalists. Ethical and quality concerns persist, particularly regarding AI’s ability to meet journalism’s established quality standards. This article aims to investigate the incorporation of these quality criteria in news articles generated by artificial intelligence (AI). Focus group and in-depth interviews were used as methodological techniques, involving ten experts. It is concluded that journalistic ethics have remained intact despite the disruptive technological advances in recent decades. However, there is a need to integrate these ethics with new criteria associated with the tools being used. Therefore, it is necessary to consider criteria from a dual perspective: both social and technological.
Source: Communication & Society
Institutions: University of Castilla-La Mancha, Universidad de Sevilla
Language: English
Topic: Journalism and Media Studies
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $301
OpenAlex ID: W4396228355