We measure how the world's news covered people being harmed — and the help and hope within it.
173 of its 290 stories (60%) were about people being harmed, usually 32%. Kathmandu accounted for 113 of Nepal's 173 stories about harm, carried by 328 outlets. Reports of people affected ran at about 6 times the usual rate (128 stories). Its coverage was about one and a half times as grief-stricken as the world's.
32 of its 42 stories (76%) were about people being harmed, usually 45%. Niamey accounted for 24 of Niger's 32 stories about harm, carried by 29 outlets. Reports of people injured ran at about three times the usual rate (5 stories). Its coverage was about one and a half times as fearful as the world's.
36 of its 51 stories (71%) were about people being harmed, usually 53%. Damascus accounted for 22 of Syria's 36 stories about harm, carried by 26 outlets. 17 of Damascus' 22 stories were about protests or strikes.
Reports of arrests ran at about 4 times the usual rate (8 stories). Outbreaks were named in 15 of its stories about harm, about 4 times usual. Its coverage was about one and a half times as fearful as the world's.
16 of its 19 stories (84%) were about people being harmed, usually 49%. Srebrenica accounted for 16 of Bosnia's 16 stories about harm, carried by 27 outlets. Its coverage was about three times as grief-stricken as the world's.
227 of its 722 stories (31%) were about people being harmed, usually 23%. Reports of people displaced ran at about 4 times the usual rate (7 stories). Flooding was named in 35 of its stories about harm, about three times usual, with storms, heavy rain and rabies.
Nairobi accounted for 87 of Kenya's 153 stories about harm, carried by 59 outlets. 51 of Nairobi's 87 stories were about protests or strikes. Its coverage was about one and a half times as angry as the world's.
29 of its 77 stories (38%) were about people being harmed, usually 22%. Reports of arrests ran at about three times the usual rate (6 stories).
17 of its 27 stories (63%) were about people being harmed, usually 40%. 4 of Juba's 7 stories were about protests or strikes.
53 of its 123 stories (43%) were about people being harmed, usually 32%. Reports of people injured ran at about three times the usual rate (9 stories).
Also named far more than usual: flooding in South Africa (35 of its stories, about three times its usual); illness in Iran (10 of its stories, about 6 times its usual); heatwave in Italy (11 of its stories, about 9 times its usual); hypothermia in Japan (11 of its stories, more than ten times its usual); building collapse in Nigeria (23 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 12 Jul. 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 17,540 stories about harm among 100,149 counted on 12 Jul.
Sudan's news mentioned outbreaks about 4 times as often as usual. 18 in every 100 of the day's 100,149 news stories were about people being harmed, as usual. In Nepal, 60% of the news was about people being harmed, where 32% is usual. A year earlier, on 13 July 2023, 19 in every 100 stories were about people being harmed, 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 much 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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