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Fig. 7 | Journal of Big Data

Fig. 7

From: Large scale analysis of violent death count in daily newspapers to quantify bias and censorship

Fig. 7

Number of articles \(N_k\) as a function of persons killed k mentioned in each article. The full distributions have been fitted with a single power law (values in Table 2), the domestic/foreign ones with two power laws \(\gamma _L\) (\(2\le k \le 10\)) and \(\gamma _H\) (\(k>10\)). For all foreign events there is a break in the spectral index \(\gamma _L<\gamma _H\) due to missing events not being reported (from \(91\%\) for REP to \(122\%\) for CDS). In domestic events \(\gamma _L>\gamma _H\) for Italian papers (over-reporting of low k events, from \(47\%\) in STA to \(71\%\) for CDS). In NYT whereas the decrease in \(\gamma _L\) for domestic events is lower (over-reporting of \(4\%\)) than for foreign ones (under-reporting of \(98\%\)), hinting to a higher degree of internationalization of this publication (Table 3)

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