Relevant Resources
On this page, you will find relevant tools and resources to support your work, including helpful guides, research materials, and useful links for this project.
Last updated
On this page, you will find relevant tools and resources to support your work, including helpful guides, research materials, and useful links for this project.
Last updated
The Journalism Cloud Alliance () Tech Audit examined the technical, editorial, and financial aspects of cloud infrastructure of investigative, accountability, and data journalism organisations as well as select civil society organisations (CSOs) to assess the interest and feasibility for a shared “Journalism Cloud” initiative. Convened by GFMD and OCCRP, the JCA seeks to address the critical challenges faced by investigative journalism and data newsrooms arising from the significant expenses and constraints associated with cloud computing.
In an era where information flows at an unprecedented rate, the dynamics of data and investigative journalism are rapidly evolving. The recent survey, “,” offers a unique window into this transformation. Investigative journalism organisations and data journalism newsrooms have shared their experiences and perspectives, shedding light on the data processing tools they use, the data they manage, the cloud services they employ, and the financial burdens these entail.
In 2023, – a joint project of the London School of Economics (LSE) and the Google News Initiative - published the second edition of its report examining how newsrooms and journalism organisations are using AI. This report is the second global survey of more than 120 editors, journalists, and technologists from 105 small and large newsrooms across 46 countries – including more than 20 European media outlets. Their research explored the state of AI adoption and use in newsrooms along with the risks and opportunities it offers for journalists, as well as examined its implications for the future of journalism.
The "Tech Stack 2024" study was conducted and processed under the responsibility of Marion Wyss, the initiator of its first edition, and Florence Voirin Larosa, Program Manager at Sciences Po Executive Education. Its content is of interest to both the School of Journalism, where students are trained in the use of digital tools, and Executive Education, where professionals on continuing education courses learn to think strategically in the right technological environment.
This report describes the Applied AI in Journalism Challenge (AIJC)—a competitive accelerator program intended to prototype pragmatic applications of artificial intelligence (AI) capabilities in mission-driven newsrooms around the world. The program was launched in June 2023 and ran until November 2023. Funding was provided by the Open Society Foundations. The programme was largely successful, developing a cohort of capable and motivated teams and actively engaging with them as they developed substantial new capabilities.
The Open Society Foundations' (OSF) AI in Journalism Futures (AIJF) project is one of the first significant attempts to understand how AI might fundamentally reshape our information ecosystem in the long term, over the next 5 to 15 years. Engaging nearly 1,000 global participants, including journalists, technologists, academics, and civil society advocates, the project’s objective was to understand the range of possibilities for the long-term impact of AI on journalism using a scenario planning approach. This report highlights a rough consensus of the participants as of mid-2024, obtained in possibly the most thorough and inclusive way available, about the potential long-term impact of AI on our information ecosystem.
This report is based on a survey of 71 news organisations in 32 different countries regarding artificial intelligence and associated technologies. It reveals a wide range of journalists working with AI answered questions about their understanding of AI, how it was used in their newsrooms, and their views on the wider potential and risks for the news industry. This report shows that the future impact of AI is uncertain, but it has the potential for wide-ranging and profound influence on how journalism is made and consumed.
Empowering journalists and newsrooms to navigate technological change is a key part of the Thomson Reuters Foundation's (TRF) work to bolster the resilience of independent media, which is critical to our mission to strengthen free, fair and informed societies. With AI here to stay, we have embedded a new module into our training programmes to support journalists in leveraging the benefits of this technology. This research – made possible by the invaluable contributions of our alumni and its author Professor Damian Radcliffe, the Chambers Chair in Journalism at the University of Oregon – will be a useful resource for all those working to ensure that this technology is used in a responsible, ethical and equitable way across the news industry.
In the digital age, the use of technology is crucial. Especially in cross-border teams, tools for communication and cooperation are indispensable. Because technical developments in software are rapid, it is impractical to share a list of applications here: tomorrow the list may look different. Nevertheless, there are some commonly used tools in investigative journalism for communication and collaboration that are mentioned in this chapter. But whichever tool the team decides to use, be aware of some tricky issues regarding their purchase and use.
