My fellow WordDream blogger recently posted that 70% of people trust blogs for news, more than the traditional media. With that trend, coupled with the plethora of news and information available, this sounds like a good idea.
New software distinguishes between experts and spammers, showing who can be trusted.
The technique works in a way similar to Amazon’s reputation engine or the ratings of Wikipedia pages, but it evaluates users based on a new set of criteria that makes intuitive assumptions about experts.
The algorithm draws on a method applied in ranking Web pages, but takes it an interesting step further, says Jon Kleinberg, a professor of computer science at Cornell University in Ithaca, NY, who was not involved with the work. “It distinguishes between ‘discoverers’ and ‘followers,'” Kleinberg says, “focusing on users who are the first to tag something that subsequently becomes popular.” (more)