I’ve now been teaching data journalism for over a decade — from one-off guest classes at universities with no internal data journalism expertise, to entire courses dedicated to the field. In the first of two extracts from a commentary I was asked to write for Asia Pacific Media Educator I reflect on the lessons I’ve learned, and the differences between what I describe (after Daniel Kahneman) as “teaching data journalism fast” and “teaching data journalism slow”. First up, ‘teaching data journalism fast‘ — techniques for one-off data journalism classes aimed at general journalism students.
In this commentary, I outline the different pedagogical approaches I have adopted in teaching data journalism within different contexts over the last decade. In each case, there was more than enough data journalism to fill the space — the question was how to decide which bits to leave out, and how to engage students in the process. Continue reading →
Some useful frameworks for judging data from archival field outlined by @JamesLowryRAI at #datajustice18 in relation to Kenyan open data – including provenance (in that case opaque), custody (undocumented) and curation (no processes noted)
Until last month I hadn’t heard of diplomatics. It’s the discipline of studying historical documents, and comes from the word ‘diploma’, as in ‘verifying that someone hasn’t faked their records’ (I’m paraphrasing here). But this discipline of verification has some useful lessons for journalists — particularly data journalists — because it provides a very handy framework for picking apart what makes a record (data) credible, and what we should be looking out for when establishing that.
Particularly useful are three terms that are used to distinguish different aspects of a record’s credibility: authenticity; reliability; and accuracy.
This week’s GEN Summit marked a breakthrough moment for artificial intelligence (AI) in the media industry. The topic dominated the agenda of the first two days of the conference, from Facebook’s Antoine Bordesopening keynote to voice AI, bots, monetisation and verification – and it dominated my timeline too.
At times it felt like being at a conference in the 1980s discussing how ‘computers’ could be used in the newsroom, or listening to people talking about the use of mobile phones for journalism in the noughties — in other words, it feels very much like early days. But important days nonetheless.
Ludovic Blecher‘s slide on the AI-related projects that received Google Digital News Initiative funding illustrated the problem best, with proposals counted in categories as specific as ‘personalisation’ and as vague as ‘hyperlocal’.