PLoS ONEplosplosonePLOS ONE1932-6203Public Library of ScienceSan Francisco, CA USA10.1371/journal.pone.0141938PONE-D-15-45426CorrectionCorrection: Computational Fact Checking from Knowledge NetworksCiampagliaGiovanni LucaShiralkarPrashantRochaLuis M.BollenJohanMenczerFilippoFlamminiAlessandro2710201520151010e01419382015Ciampaglia et alThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedComputational Fact Checking from Knowledge Networks
There is an error in the last sentence of the “Validation on factual statements” section of the Results. The sentence should read: With this method we estimate that, in the four subject areas, true statements are assigned higher truth values than false ones with probability 95%, 98%, 100%, and 95%, respectively.
Fig 4 is incorrect. Please view the corrected figure below.
10.1371/journal.pone.0141938.g001
Receiver Operating Characteristic for the multiple questions task.
For each confusion matrix depicted in Fig 3 we compute ROC curves where true statements correspond to the diagonal and false statements to off-diagonal elements. The red dashed line represents the performance of a random classifier.