One of the basic principles of what has been recently defined as ‘web 2.0’ (i.e. that part of the web able to actively involve the targeted communities) is the user’s involvement in the content creation, not only uploading contextualized data, but also making public the community’s trends and the emerging majority’s tastes. This trends and tastes are reflected, in the last resort, on the same community because of a sort of emulation factor and the ‘belonging to the group’ spirit. This approach can be almost manageable for homogeneous data (photos, videos, physical objects, software), but it is more ticklish when dealing with the news and their accurate selection. The editorial process used to select the news is one of the most delicate and it implies the evaluation of many variables. Digg is a new experimental project, started in 2004, that applies a different principle: it allows the users not only to point out technical news stories, but also to vote them, in order to let the software post on the homepage only the most voted ones. The consequent darwinian selection can be questionable, but it is, at the same time, certainly effective and resulting from a transparent process. The site’s popularity could encourage continuing the research, but the biggest challenge is to safeguard the essence of the single choices, protecting them from the the automatic tools’ pervasiveness..