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Table 3 Spectral index for the four newspapers separating domestic and foreign datasets

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

Newspaper Loc. \(\gamma _L\) \(\gamma _H\) \(\Delta \gamma \gamma _L-\gamma _H\) \(\chi ^2 /NDF\) M (excess/defect) (%)
NYT Dom. 1.37e+00 ± 3e−03 1.78 ± 1e−02 −0.417 ± 1e−02 3e + 01 4
NYT For. 9.90e−01 ± 3e−03 1.66 ± 5e−03 −0.672 ± 5e−03 6e + 01 − 98
CDS Dom. 2.08e+00 ± 3e−03 1.81 ± 2e−02 0.277 ± 2e−02 2e + 01 71
CDS For. 5.02e−01 ± 3e−03 1.59 ± 5e−03 −1.09 ± 6e−03 1e + 02 − 122
REP Dom. 1.69e+00 ± 3e−03 1.54 ± 6e−03 0.143 ± 7e−03 2e + 02 16
REP For. 9.66e−01 ± 3e−03 1.48 ± 4e−03 −0.511 ± 5e−03 1e + 02 − 91
STA Dom. 1.95e+00 ± 2e−03 1.72 ± 1e−02 0.2311 ± 1e−02 4e + 01 47
STA For. 9.23e−01 ± 3e−03 1.54 ± 5e−03 −0.615 ± 6e−03 9e + 01 − 94
  1. \(\gamma _L=\gamma (2\le k \le 10)\), \(\gamma _H=\gamma (10\le k \le 10^6)\). A negative \(\Delta \gamma =\gamma _L-\gamma _H\) implies a lack of events for \(2\le k\le 10\) events, and vice-versa. The higher the absolute value the higher the excess or defect of events. M is the excess (+)/defect (−) of articles with respect to what expected from a pure power-law (see text)