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handle: 10138/349547 , 20.500.13089/jceu
The objective of this article is to lay out a research agenda, named “Augmented Journalism”, to explore the future of news journalism in the context of Artificial Intelligence (AI). The article will determine what the critical epistemic components of this novel paradigm would be. “Augmented journalism” puts the focus on human-machine interaction, and the main question that arises from this context is “What makes a reporter human?” A broad intradisciplinary approach to human capabilities is needed, not just in the social sciences, in particular sociology, journalism studies, and psychology, but also in technical skills (computer science and user design), as well as in the operational context (media economics and management studies). The vision presented here stems from years of research into journalism practice, AI tools for news, news media business models and the Silicon Valley mindset. The underlying logic is that the future of journalism lies in its capacity to create value for the various sectors of stakeholders, from consumers to policy makers. The project will explore what makes the work of journalists valuable, what part consists of “human” capabilities, and how news work can be augmented with AI in order to stay relevant, but efficient.
capacités, journalism, Media and communications, artificial intelligence, intelligence augmentation, intelligence artificielle, value, journalisme, valeur, intelligence augmentée, capabilities, automatisation, human, humain, automation
capacités, journalism, Media and communications, artificial intelligence, intelligence augmentation, intelligence artificielle, value, journalisme, valeur, intelligence augmentée, capabilities, automatisation, human, humain, automation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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