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 →
6.9 million views and counting on this video. But this isn’t TV — this is BBC Radio Bristol. A great example for anyone wanting to demonstrate how reporters now need to be able to spot stories that will work on any medium.
Social media ‘filter bubbles’ – where users only see news sympathetic with their own views – have been blamed for pretty much everything considered ‘wrong’ with politics, from obscuring Trump’s popularity and encouraging political polarisation to the ‘fake news’ epidemic. New publishing startup Echo Chamber Club offers to burst readers’ filter bubbles and challenge their views — and it’s doing so well that it is already planning to expand. Andrew Brightwell interviews its founder, Alice Thwaite.
The Echo Chamber Club, founded in June 2016, sets out to “help ‘liberal and progressive metropolitans’ understand different points of view for themselves.” It publishes weekly emails, each covering a subject in the news, but offering a perspective directly opposed to the liberal consensus.
Since starting in the wake of the UK’s vote to leave the European Union, it has challenged liberal perceptions on Russia’s support of the Assad regime in Syria, inflation policy, Western military intervention, and the EU referendum. Continue reading →
Here, then, are some reflections on the 10 pieces which did best in 2016 (there were 100 posts across the year), plus the older posts which keep on giving, and a comparison of some pieces which did far better on Medium than on OJB. Continue reading →
Every year Nic Newman asks a bunch of people for their reflections on the last 12 months and their anticipations for the year ahead. Here’s what I’ve said this year — as always, to be taken with significant doses of salt.
What surprised you most in 2016?
Perhaps the sheer number of significant developments (compare the posts for 2015 and 2014). It was the year when bots went mainstream very quickly, and platforms took further significant steps towards becoming regulated as publishers.
It was a year of renewed innovation in audio. 2016 saw the launch of a number of new audio apps, including Anchor, Pundit, Clyp and Bumpers.fm, as various companies attempted to be the ‘Facebook of audio’. The only problem: Facebook wants to be the Facebook of audio too: at the end of the year they introduced live audio. Continue reading →
Goodbye 2016, the year of The Boys Who Cried Wolf. Not just a year of ‘fake news’, but something more: a crisis in people’s ability to believe anything.
And in 2017 it’s likely to get worse.
To explain what I mean, you need to go back to 2003, when Salam Pax, the ‘Baghdad Blogger’, was posting updates in the middle of the Iraq War. While some questioned whether he was really based in Iraq, that debate was relatively limited by today’s standards. It was a manageable doubt.
The boys who cried wolf in Aleppo
Cut to Aleppo in 2016 and you see how things have changed. Bana Alabed is perhaps Aleppo’s ‘Baghdad Blogger’: a Twitter account about the experiences of a seven year old Syrian girl, maintained by her mother.
But she is not alone: the number of voices speaking from the ground has proliferated… Continue reading →
2016 was the year of the bot in journalism. In this edited extract from the forthcoming second edition of the Online Journalism Handbook, I outline what bots are, how bots have been used by media organisations from early Twitter bots to the recent wave of ‘chatbots’, and some tips and tools for getting started with journalistic bots.
‘Bots’ are ‘robots’ – only on the internet. Without the mechanical body of their physical counterparts, all that leaves is a disembodied computer script, normally created to perform repetitive tasks.
This broad description takes in a whole range of activities, and so the term ‘bot’ is used to talk about very different things in different contexts:
In search you might talk about bots used to index webpages, such as the ‘Googlebot’.
In finance and commerce you might talk about bots used to monitor information online and respond to it by buying or selling things.
And in advertising and politics you might talk about bots being used for nefarious purposes: for example, to make it look like more people are viewing webpages, clicking on adverts, or arguing for a particular candidate.
This article isn’t about any of those.
In the context of journalism and publishing, the term ‘bot’ is normally used to refer to something which users can interact with. Examples include: Continue reading →