The latest attempt to sort through the clutter of available online news content is version 2.0 of News360, an app for the iPad, the iPhone, the BlackBerry PlayBook, Windows Phone and Android devices, and the Web that uses semantic analysis to analyze users’ activity on social services such as Facebook, Twitter, Google Reader, and Evernote to select relevant news.
TechCrunch reported that the semantic engine that drives version 2.0 of News360 differs from the app’s initial release, which unearthed the most important news in specific categories, but wasn’t personalized.
In fact, News360 CEO Roman Karachinsky told CNET’s Rafe’s Radar users don’t even have to set up the app, as it automatically begins analyzing their social network activity to select appropriate content. “It won’t be possible to survive the onslaught of sharing without algorithmic help,” he added.
ReadWriteWeb reported that News360 version 2.0 prepares a semantic map for each item of content, which it then compared with users’ interest graphs from their social networks, adding that the interest graphs are sharable.
As for how the app mines data from social networks, according to TechCrunch, it read profile data and analyzes comments and shared content on Facebook; for Twitter, it examines bios, lists, tweets, and favorites; it factors in what Google Reader users share, star, read, and click through to; and it incorporates news-related saved Web clips on Evernote.