Quo vadis R-Factor?

The R-Factor, as we envision it, could be applied to all fiels of research. It is a constructive proposal to offset the perverse incentive system in research, where quantity counts more than quality, story more than facts and Reiterating how R-Factor is relevant to all fields, could disrupt the wrong prevailing incentive system. (Vision)

Implementation!

We can't score all citations of all papers (in 2009 there were already 50.000.000 papers published. If we assume that each paper cites 20 other studies on average: that is 1.000.000.000 citations!). The only way to go ahead would be training a machine to rate citations. And this is exactly what we started implementing. Veracity, as we call this handsome NLP-driven machine already gets quite good in sorting out citations that are barely mentioning earlier studies and gets better and better in scoring citations as supportive or refuting (some details on what we have been doing so far in terms of algorithm can be found here (link preprint). So far we managed to do this with about 12.000 annoted citations. We obviously need more to improve the algorithm. This is why we need your help "scoring" citations: