3.4. The Guttenberg Case 267 In February 2011, evidence was made public that the former German 268 minister Karl-Theodor zu Guttenberg had violated the academic code by 269 copying several passages of his PhD thesis without properly referencing them. 270 This eventually led to Guttenberg losing his PhD title, resigning from being 271 minister, and being nicknamed Baron Cut-and-Paste, Zu Copyberg and Zu 272 Googleberg by the German media (BBC, 2011). Evidence of the plagiarism 273 and a detailed list of the copied sections and of the different sources used by 274 the minister is available at GuttenPlag (2011). 275 We selected randomly two sets of pages from this controversial disserta- 276 tion, with the first containing plagiarism instances, and the second material 277 originally written by the ex-minister. Then we performed an unsupervised 278 hierarchical clustering on the distance matrix derived from FCD distances as 279 described in Section 3.1. First attempts made by analyzing single pages failed 280 at separating the original pages in a satisfactory way, as the compressor needs 281 a reasonable amount of data to be able to correctly identify shared patterns 282 between the texts. We selected then two-pages long excerpts from the thesis, 283 with the resulting clustering reported in Fig. 4 showing a good separation of 284 the texts containing plagiarism instances (in red in the picture). The only 285 19 Method FCD NCD CNG Best Correct (out of 14) 12 2 9 13 Table 5: Classification results on task I of the CLEF PAN 2012 dataset. The dataset contains 28 texts belonging to 14 different authors for training and 14 for testing. The best results obtained in the PAN 2012 contest are reported as ‘Best’.