“Trump’s unexpected election on November 8th 2016 highlighted the perverse results of the echo chamber phenomenon: news coming from social media match what you already believe in and flatter your opinion, leading groups of citizens to think the same way and giving them no contradiction. In this way Facebook – among others – is being blamed for its algorithms that do not allow the users to encounter new ideas or topics that they didn’t specifically select. In other words, a personalized recommendation system requiring a lot of data with no room left for serendipity. In this context, the data craftsmen have a role to play. Who are they, and why should we prefer this term instead of the over-used term “data scientist”? How is data craftsmanship the key to escape the hazardous echo chambers?”
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