Because he sends me an email every December, Nic Newmanhas a tag all of his own on this blog. So as this year’s email lands in my inbox here’s my annual reply around what I’ve noticed in the last 12 months — along with some inevitably doomed predictions of what might happen in the next year…
Surprising in 2017: horizontal storytelling and Facebook disappointments
This week I’m rounding off the first semester of classes on the new MA in Data Journalism with a session on artificial intelligence (AI) and machine learning. Machine learning is a subset of AI — and an area which holds enormous potential for journalism, both as a tool and as a subject for journalistic scrutiny.
So I thought I would share part of the class here, showing some examples of how the 3 types of machine learning — supervised, unsupervised, and reinforcement — have already been used for journalistic purposes, and using those to explain what those are along the way. Continue reading →
McLaren is talking about malicious threats, and the way that machine learning can be used to identify suspicious patterns of behaviour. But the example given above is equally useful in illustrating the way that similar behaviour might be used to identify an employee intending to whistleblow on illegal, unethical or dangerous behaviour by his or her organisation. Continue reading →