Fig. 9
From: Large scale analysis of violent death count in daily newspapers to quantify bias and censorship
\(\Delta \gamma =\gamma _L-\gamma _H\) vs \(\gamma _H\) obtained from the fit of power-law for the distributions of domestic and foreign events. \(\Delta \gamma \simeq 0\) means a pure power law over the whole distribution whereas a negative (positive) \(\Delta \gamma\) implies a lack (excess) of articles with a small (\(2\le k\le 10\)) number of deaths. An higher (lower) value of \(\gamma _H\) implies more emphasis on low (high) values of k. In all newspapers, foreign distributions have a lower \(\Delta \gamma\) than domestic ones and a lower value of \(\gamma _H\), showing that high k events have an higher importance over the low k ones. NYT has the smallest differences in \(\Delta \gamma\), a sign of greater uniformity of treatment between domestic and foreign events