Fig. 4 Culturomics can be used to detect censorship.

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Fig. 4 Culturomics can be used to detect censorship. Culturomics can be used to detect censorship. (A) Usage frequency of “Marc Chagall” in German (red) as compared to English (blue). (B) Suppression of Leon Trotsky (blue), Grigory Zinoviev (green), and Lev Kamenev (red) in Russian texts, with noteworthy events indicated: Trotsky’s assassination (blue arrow), Zinoviev and Kamenev executed (red arrow), the Great Purge (red highlight), and perestroika (gray arrow). (C) The 1976 and 1989 Tiananmen Square incidents both led to elevated discussion in English texts (scale shown on the right). Response to the 1989 incident is largely absent in Chinese texts (blue, scale shown on the left), suggesting government censorship. (D) While the Hollywood Ten were blacklisted (red highlight) from U.S. movie studios, their fame declined (median: thick gray line). None of them were credited in a film until 1960’s (aptly named) Exodus. (E) Artists and writers in various disciplines were suppressed by the Nazi regime (red highlight). In contrast, the Nazis themselves (thick red line) exhibited a strong fame peak during the war years. (F) Distribution of suppression indices for both English (blue) and German (red) for the period from 1933–1945. Three victims of Nazi suppression are highlighted at left (red arrows). Inset: Calculation of the suppression index for “Henri Matisse”. J Michel et al. Science 2011;331:176-182 Published by AAAS