The dangers of machine driven content publishing

Performance metrics on election content As we at diginomica spend more time exploring how content performs and how best to optimize the reader experience I’ve found myself dusting off old statistical skills I thought I had left behind me many years ago.It’s an interesting area of study that has implications for any kind of content. Speaking personally, I am fascinated by the interplay between machine learning techniques, emerging statistical models and the inferences that can be drawn from them. It is very early days and there are plenty of ways to experiment. However, regardless of your approach to these topics, a few risks are emerging. First, assigning cause and effect is a dangerous game at the best of times but a couple of things are happening that give me pause.…


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