Tag: Investigative projects

‘As datasets become bigger and more complex, machine learning models that help reporters sort and analyze data are becoming not only more sophisticated but also more accessible to reporters everywhere’ Uses of machine learning for investigative projects so far ‘have…

Runs 1:04:57 Panel discussion at the Global Investigative Journalism Network annual conference with thought leaders from six countries describing the investigative journalism landscape ahead. Panelists talk about uses and implications of artificial intelligence, business models, infrastructure, disinformation, reporting autocracies, and…

‘Without the help of technology, it will be hard for the media because the world is getting more precarious and there is not enough time, so the question is, how can we use technology to overcome this, how can we…

‘Although it hasn’t brought about the job losses many feared (quite the opposite, in fact, according to some experts), conclusions drawn by machines are not always correct, meaning journalists need to continuously question outcomes, validate methodologies, and ensure explainability.’  The…

‘This is an open investigation, and we need your help monitoring the campaigns, companies, governments, and other actors involved’ Kevin Delaney, Quartz EIC Quartz will gather tips and examples from the public for a new investigative series and use machine…

‘AI aided the investigation by applying a journalist’s human judgment identifying a particular kind of document—like a tax return or a business plan—across the entire document trove.’  A cache of documents came from a Mauritius law firm about tax avoidance…

‘AI has barely touched investigative journalism, let alone transformed it.’ Benefits of AI in investigative journalism should be weighed against its limitations, says Jonathan Stray in the academic journal DIGITAL JOURNALISM. Stray explores how AI systems have have been used…

For journalists, the appeal of collaborating with academics is twofold: access to tools and techniques that can aid our reporting, and the absence of commercial purpose in the university setting. For academics, the appeal is the “real world” problems and…

by Andrew Cochran January 1, 2019 updated October 2019 AI systems in newsrooms are doing tasks not jobs. Examples are outputting templated stories from structured data or clustering social media posts to flag breaking stories. Three themes have emerged: 1…

‘Quartz has used artificial intelligence technology to help it promote articles through its AI-enabled chatbots. Now the publication is looking to incorporate computers more in the reporting of those articles.’ DIGIDAY reports online publication Quartz will use a $249,000 grant…

‘Machine learning can translate to using algorithms to parse through data, recognise patterns, and then make predictions and assessments based on what the algorithms have learnt’ GLOBAL EDITORS NETWORK notes ways that machine learning can be used in journalism, presenting…

Digital journalism gains shape as a distinct field with 58 academic articles as points on a map. Editors Bob Franklin and Scott Eldridge II press the point that ‘digital’ can no longer be treated as a prefix in journalism. Nor…

Nick Diakopoulos examines the power of algorithms. He considers how they function, their influence in society, and suggests approaches to increasing accountability. His paper analyzes five cases in journalism. He is Director of the Computational Journalism Lab at Northwestern University,…