#algorithmic curation

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Top 10 Media Trends of the Year

In today’s online world, personalization is increasingly making or breaking companies. The companies that win are the ones making personalization a key company value – not just a feature.

What’s really interesting here is that this is the first sign of Twitter getting serious about building its own interest graph, as if you’d ever get tired of all this “graph” talk, right? But this is the social network’s first big move that shows it following in the footsteps of Facebook, as the more personal info they collect on your interests and activity on their platform, the more info there is to feed targeted advertising and tweets.

But the personal nature of mobile devices offers up a different level of potential (look at Zite). As more consumption shifts to these devices and algorithms get more sophisticated at seamlessly recognising individuals across multiple platforms, machine learning will inevitably come into its own.

The Web is moving away from just curating content, to actually performing artificial intelligence operations on that content. ... we are experiencing a move away from curatorial tools to algorithmic tools. We are, indeed, creating a type of second brain made possible by basic programming skills. A whole group of sites – Screenr, Google Reader, Diigo, delicious, Instapaper, Evernote, Pinterest, and Social Cast – are becoming part of a massive second brain that is able to establish relationships between all the content that we are creating online with different Web services.