Histories of Digital Journalism: The Interplay of Technology, Society and Culture

Building on the momentum of the recent “historical turn” in digital media and Internet studies, this volume explores how digital journalism has developed from a historical perspective. With contributions from established and emerging scholars from Europe, Asia, South and North America, the book investigates not only how established journalistic systems transformed in the early days of digital, but how the structural, technological and cultural changes induced by digitization have reconfigu

A data-centric approach for ethical and trustworthy AI in journalism - Ethics and Information Technology

AI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. Although scholars agreed on the necessity to embed journalistic values in these systems to make AI systems accountable, less attention was paid to data quality, while the results’ accuracy and efficiency depend on high-quality data in any machine learning task. Assessing data quality in the context of AI-driven journalism requires a broader and interdisciplinary approach, relying on the challenges of data quality in machine learning and the ethical challenges of using machine learning in journalism. To better identify these, we propose a data quality assessment framework to support the collection and pre-processing stages in machine learning. It relies on three of the core principles of ethical journalism—accuracy, fairness, and transparency—and participates in the shift from model-centric to data-centric AI, by focusing on data quality to reduce reliance on large datasets with errors, making data labelling consistent, and better integrating journalistic knowledge.

Technical Expertise in Newsrooms: Understanding Data Journalists’ Roles and Practices

In recent years, there has been a notable increase in the integration of technology and the employment of technological experts within newsrooms. However, there remains a paucity of scholarly research examining the evolution and maturation of these practices. This article addresses this gap by analyzing data from ten semi-structured qualitative interviews with developers embedded in the editorial departments of Norwegian news outlets. The findings reveal that developers have become fully integrated and indispensable actors within newsrooms. They contribute comprehensively to the journalistic news production process, engaging in routine tasks such as news visualization as well as participating in extensive investigative projects. Furthermore, developers navigate their work and practices within the framework of journalistic logic, culture, and the principles of objectivity, thereby reinforcing the democratic function of journalism in society. Interestingly, the integration of developers has also induced spill-over effects among non-technical staff. While developers are the primary bearers of technical expertise, there is an increasing expectation for reporters to acquire technical competencies.

K-MiN: Knowledge Management in Newsrooms

Join the first workshop on Knowledge Management in Newsrooms, discussing AI integration and knowledge representations in journalism.

K-MiN: Knowledge Management in Newsrooms

Join the first workshop on Knowledge Management in Newsrooms, discussing AI integration and knowledge representations in journalism.

Striking the Balance in Using LLMs for Fact-Checking: A Narrative Literature Review

The launch of ChatGPT at the end of November 2022 triggered a general reflection on its benefits for supporting fact-checking workflows and practices. Between the excitement of the availability of AI systems that no longer require the mastery of programming skills...

200+ Artists Urge Tech Platforms: Stop Devaluing Music

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