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I find the reverse approach exciting: I'd love an ML system that analyses articles and shows which parts are just regurgitating the press release, and which par
by the_duke 6y ago
I find the reverse approach exciting: I'd love an ML system that analyses articles and shows which parts are just regurgitating the press release, and which parts add anything meaningful.
And to go further: a system that collects articles on the same topics and highlights semantic differences (facts, tone, framing, ...).
- fartcannon 6y agoSomething to rewrite articles without the spin? That would be awesome. I'd love a ublock origin style plugin for identifying submarine advertising, astroturfing, etc. Could feed it press releases/advertisements and the like from major corporations.
- Cro_on 6y agoNot OP but it sounds like the basis of a tool to validate where the source material comes from, as well as to reveal how much has been elaborated upon in other versions. Also, elaborating from / interpreting OP, to explore the parts of a given article which have absolute merit, and discovering patterns in effective language. Obviously this won't be necessary knowledge for the sake of writing, though nonetheless interesting for linguists. But with the machines busying themselves with that, a good analysis and production could have a profound effect on spoken language. As in, you are what you read, and, unless you're still reading the classics, for a decent majority(?) that will necessitate an evolution in language. Not to mention the potential misuse by politicians and public speakers who will have a new level of delicate and gripping rhetoric.