For a while, I've stuck to the Wikileaks suggested formula of "Scientific Journalism" [https://en.wikipedia.org/wiki/Scientific_journalism] and I've seen the progression of State Actors (both automated and manned) across the www.
What's telling that I did a CTRL+F for the term - and it's not mentioned. Added to that, even mature news sources (such as the Guardian or Telegraph in the UK) have only ever dabbled at it - for instance, the Guardian provides links within its own articles, but the links are entirely self referential. i.e. recursive back into their own site. Even with actual science articles, actually getting a link to the paper [pay-walled or otherwise] is rare.
I will say that certain writers for the Guardian (Monbiot recently on soil), however much their bias, actually source links to multiple first / second tier sources, which is a good thing.
The upshot of this is: there [b]is[/b] a solution, and you can often spot the genuine comments by virtue of first and second tier links (wikipedia being second tier).
The actual real issue (again, not mentioned in the comments here) is to break the media consumption mold whereby people read comments as personal anecdotes / opinions. It's a form of conditioning around since forever [the TV turn to the camera, eye contact, personal little look].
What might be a fun project for HN viewers would be an independent (eff?) project that pattern matched text and caught similarities. Probably using a modified code base from a commercial plagiarism detectors. [https://en.wikipedia.org/wiki/Plagiarism_detection]
Note: the US at least has spent a lot of money on their own versions. As probably have the Russians / Chinese: you can be fairly sure comments are chucked through an automated detector to see the (likely) source: yours, theirs, randoms, bots or the 'Other'.
[Let's see if this comment gets flagged by evul bots!]
Data, Text, and Image Mining—Analysis of data stream in real time as well as cluster analysis and their applications to data, text, and image mining are important tools for anomaly detections in the global war against terrorism. New and unifying methodologies are needed in order to provide efficient search for patterns or meaning from the analysis of usually huge data sets that consist of multivariate measurements. Developments of mathematical theory for data, text, and image mining techniques are also highly desirable.
For a while, I've stuck to the Wikileaks suggested formula of "Scientific Journalism" [https://en.wikipedia.org/wiki/Scientific_journalism] and I've seen the progression of State Actors (both automated and manned) across the www.
What's telling that I did a CTRL+F for the term - and it's not mentioned. Added to that, even mature news sources (such as the Guardian or Telegraph in the UK) have only ever dabbled at it - for instance, the Guardian provides links within its own articles, but the links are entirely self referential. i.e. recursive back into their own site. Even with actual science articles, actually getting a link to the paper [pay-walled or otherwise] is rare.
I will say that certain writers for the Guardian (Monbiot recently on soil), however much their bias, actually source links to multiple first / second tier sources, which is a good thing.
The upshot of this is: there [b]is[/b] a solution, and you can often spot the genuine comments by virtue of first and second tier links (wikipedia being second tier).
The actual real issue (again, not mentioned in the comments here) is to break the media consumption mold whereby people read comments as personal anecdotes / opinions. It's a form of conditioning around since forever [the TV turn to the camera, eye contact, personal little look].
What might be a fun project for HN viewers would be an independent (eff?) project that pattern matched text and caught similarities. Probably using a modified code base from a commercial plagiarism detectors. [https://en.wikipedia.org/wiki/Plagiarism_detection]
Note: the US at least has spent a lot of money on their own versions. As probably have the Russians / Chinese: you can be fairly sure comments are chucked through an automated detector to see the (likely) source: yours, theirs, randoms, bots or the 'Other'.
[Let's see if this comment gets flagged by evul bots!]