We measure how the world's news covered people being harmed — and the help and hope within it.
363 of its 436 stories (83%) were about people being harmed, usually 49%. Guayaquil accounted for 248 of Ecuador's 363 stories about harm, carried by 448 outlets. Reports of people injured ran at more than ten times the usual rate (60 stories). Its coverage was about one and a half times as fearful as the world's.
56 of its 135 stories (41%) were about people being harmed, usually 17%. 22 of Warsaw's 36 stories were about protests or strikes. Reports of arrests ran at more than ten times the usual rate (32 stories).
47 of its 108 stories (44%) were about people being harmed, usually 25%. Kathmandu accounted for 31 of Nepal's 47 stories about harm, carried by 39 outlets.
Reports of evacuations ran at about three times the usual rate (95 stories). Tornadoes were named in 289 of its stories about harm, about three times usual, with extreme cold and avalanche.
42 of its 64 stories (66%) were about people being harmed, usually 42%. Reports of abductions ran at more than ten times the usual rate (7 stories). Accidents were named in 10 of its stories about harm, more than ten times usual.
60 of its 88 stories (68%) were about people being harmed, usually 51%. Hodeida accounted for 37 of Yemen's 60 stories about harm, carried by 182 outlets. Its coverage was about three times as angry as the world's.
Reports of evacuations ran at about 5 times the usual rate (14 stories). Illness was named in 23 of its stories about harm, about 4 times usual. Its coverage was about one and a half times as angry as the world's.
Reports of evacuations ran at about twice the usual rate (46 stories). Tornadoes were named in 11 of its stories about harm, more than ten times usual, with heavy rain. Its coverage was about three times as grief-stricken as the world's.
The Red Sea accounted for 60 of Djibouti's 62 stories about harm, carried by 96 outlets. Reports of people affected ran at about three times the usual rate (6 stories). Its coverage was about twice as angry as the world's.
10 of its 18 stories (56%) were about people being harmed, usually 13%. 7 of Tbilisi's 10 stories were about protests or strikes.
Also named far more than usual: illness in Mexico (32 of its stories, about three times its usual); malaria in Ethiopia (10 of its stories, more than ten times its usual); polio in Pakistan (36 of its stories, about 5 times its usual); flooding in Indonesia (13 of its stories, about 8 times its usual); accidents in Somalia (10 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 10 Jan. 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 20,453 stories about harm among 107,069 counted on 10 Jan.
In Ethiopia's news, mentions of the malaria ran more than ten times their usual. Stories about people being harmed made up 19 in every 100 of the day's 107,069 stories, as usual. It was the second day running that the news turned to Ecuador. In Ecuador, 83% of the news was about people being harmed, where 49% is usual. On 10 January 2023, a year earlier, the share was 20 in every 100, against 19 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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