Slashdot Mirror
Data Mining Rescues Investigative Journalism
John Mecklin sends in word of initiatives through which the digital revolution that has been undermining in-depth reportage may be ready to give something back, through a new academic and professional discipline known as "computational journalism." "James Hamilton, director of the DeWitt Wallace Center for Media and Democracy at Duke University, is in the process of filling an endowed chair with a professor who will develop sophisticated computing tools that enhance the capabilities — and, perhaps more important in this economic climate, the efficiency — of journalists and other citizens who are trying to hold public officials and institutions accountable. The goal: Computer algorithms that can sort through the huge amounts of databased information available on the Internet, providing public-interest reporters with sets of potential story leads they otherwise might never have found. Or, in short, data mining in the public interest."
It doesn't matter how efficient journalistic gum-shoeing becomes, because the end product will still be subject to a certain amount of spin by the publisher.
But as it is, we can't get local news media to perform their "watchdog" role in most cases. I can't even begin to count the number of times when I've seen a case that looked suspicious as hell based on the reporting of it, but the local media just parroted the police/prosecutor's story and moved on. Alternatively, when they do get involved, it's often in cases like the Jena 6 where you end up finding out that the media was spreading disinformation and building up a narrative to make more profit.
Most news media have become a combination of an AP outlet and a source of editorials and classifieds. They're like a primitive RSS feed with some mashed up content thrown in there for local flair.
No, most reporters will continue to copy PR releases into articles.