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In Chile, does not exist an independent entity that publishes quantitative orqualitative surveys to understand the traditional media environment and itsadaptation on the Social Web. Nowadays, Chilean newsreaders are increasinglyusing social web platforms as their primary source of information, among whichTwitter plays a central role. Historical media and pure players are developingdifferent strategies to increase their audience and influence on this platform.In this article, we propose a methodology based on data mining techniques toprovide a first level of analysis of the new Chilean media environment. We usea crawling technique to mine news streams of 37 different Chilean mediaactively presents on Twitter and propose several indicators to compare them. Weanalyze their volumes of production, their potential audience, and using NLPtechniques, we explore the content of their production: their editorial lineand their geographic coverage.

Diagnosing editorial strategies of Chilean media on Twitter using an automatic news classifier