We measure how the world's news covered people being harmed — and the help and hope within it.
391 of its 471 stories (83%) were about people being harmed, usually 65%. Gaza accounted for 210 of Palestine's 391 stories about harm, carried by 458 outlets. Reports of refugees ran at about three times the usual rate (68 stories). Hurricane was named in 10 of its stories about harm, more than ten times usual. Its coverage was about three times as grief-stricken as the world's. Anger in its coverage rose to about one and a half times its own usual.
25 of its 38 stories (66%) were about people being harmed, usually 36%. the Red Sea accounted for 25 of Djibouti's 25 stories about harm, carried by 28 outlets. Its coverage was about twice as angry as the world's.
10 of its 16 stories (62%) were about people being harmed, usually 26%. Reports of people killed ran at about 4 times the usual rate (9 stories). Anger in its coverage rose to about one and a half times its own usual.
40 of its 79 stories (51%) were about people being harmed, usually 31%. Reports of people injured ran at about 5 times the usual rate (8 stories).
24 of its 32 stories (75%) were about people being harmed, usually 42%. Barsalogho accounted for 19 of Burkina Faso's 24 stories about harm, carried by 24 outlets. Reports of people injured ran at about twice the usual rate (10 stories). Its coverage was about one and a half times as fearful as the world's.
131 of its 216 stories (61%) were about people being harmed, usually 45%. Kabul accounted for 70 of Afghanistan's 131 stories about harm, carried by 100 outlets. Its coverage was about twice as grief-stricken as the world's.
Reports of people killed ran at about twice the usual rate (27 stories). Covid was named in 24 of its stories about harm, about 4 times usual. Its coverage was about twice as fearful as the world's.
Reports of people affected ran at about three times the usual rate (19 stories). Drought was named in 17 of its stories about harm, about 7 times usual. Its coverage was about one and a half times as warm as the world's.
Reports of refugees ran at about three times the usual rate (13 stories). Illness was named in 10 of its stories about harm, about three times usual. Its coverage was about twice as angry as the world's.
58 of its 61 stories (95%) were about people being harmed, usually 61%. Cholera was named in 20 of its stories about harm, about three times usual, with outbreaks and oil spill.
Also named far more than usual: typhoon in Japan (90 of its stories, about 8 times its usual); covid in Indonesia (24 of its stories, about 4 times its usual); cholera in Yemen (20 of its stories, about three times its usual); covid in Mexico (16 of its stories, about 5 times its usual); drought in Ghana (17 of its stories, about 7 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 28 Aug. The big dot is this day; the shaded band is a normal day (the 30 days before it). Click a day to open it. Based on 18,959 stories about harm among 103,876 counted on 28 Aug.
Of the day's 103,876 news stories, 18 in every 100 were about people being harmed, as usual. On 29 August 2023, a year earlier, the share was 20 in every 100, against 18 today.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
The day's biggest events: attacks, accidents and disasters, people displaced, protests, outbreaks. Bigger dot: more stories. Ranked by the share of the day's outlets that reported it and how clearly it was about one thing, the same way for every place and year; the news data does not say who attacked whom, so both sides of a war appear where the news put them. Click a dot for its stories.
Of the stories about people being harmed, what part of life each was about. The mark is usual.
Stories that report it, not people: we count what reporters wrote, not what happened.
The words in the day's stories were softer than usual. Filled dot: today. Ring: usual.
From the words reporters used across the whole day, never one story. Fear is the weakest of the four measures. How?
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