Visualising My News Diet

On Sunday, at the Visualize Your Media Diet learning lab at the Mozilla Festival ran by Nate Matias, Matt Stempeck and Dan Schultz from the MIT Media Lab’s Center for Civic Media, the participants had to draw how would they like to visualise their media diet, then discuss it.

Here is the sketch I made there on how I would like to visualise my news diet in order to understand not only the time spent with and the frequency of use of several channels/formats, but also the actual navigation relationships, the way I discover and I engage with the news.

The idea is that you can see on a timeline the frequency and duration of what sources and types of news items you consume, and how they interrelate; for example, a tweet leads to an article, then to a Hacker News article, then I come back to the article. Another Hacker News article leads to content creation (comment, or share via tweet, etc.), other tweet might get just retweeted, etc.

If I would have other dimensions like sources, authors, topics, etc. I might be able in time to have an algorithm that monitor the usual sources will predict what I might consume as news item, and only if I won’t actually find it via the usual way, then notify me “you might have missed this article, you usually read this type of article becauseā€¦”.