We measure how the world's news covered people being harmed — and the help and hope within it.
49 of its 173 stories (28%) were about people being harmed, usually 14%. Reports of people killed ran at about three times the usual rate (24 stories). Outbreaks were named in 16 of its stories about harm, about 8 times usual, with ebola, malaria and meningitis. Its coverage was about one and a half times as fearful as the world's.
27 of its 75 stories (36%) were about people being harmed, usually 21%. Vienna accounted for 22 of Austria's 27 stories about harm, carried by 20 outlets. Reports of refugees ran at more than ten times the usual rate (8 stories).
69 of its 325 stories (21%) were about people being harmed, usually 13%. Reports of people injured ran at about 8 times the usual rate (31 stories). Its coverage was about one and a half times as grief-stricken as the world's.
13 of its 36 stories (36%) were about people being harmed, usually 14%. Reports of people injured ran at more than ten times the usual rate (6 stories).
31 of its 91 stories (34%) were about people being harmed, usually 25%. Reports of people injured ran at about 10 times the usual rate (7 stories). Its coverage was about one and a half times as grief-stricken as the world's. Anger in its coverage rose to about one and a half times its own usual.
Reports of people injured ran at about twice the usual rate (7 stories). Flooding was named in 24 of its stories about harm, about 4 times usual. Grief in its coverage rose to about one and a half times its own usual.
Bundibugyo accounted for 45 of Uganda's 78 stories about harm, carried by 48 outlets. Malaria was named in 11 of its stories about harm, about 4 times usual. Its coverage was about one and a half times as fearful as the world's.
14 of its 17 stories (82%) were about people being harmed, usually 31%. Its coverage was about one and a half times as grief-stricken as the world's.
26 of its 67 stories (39%) were about people being harmed, usually 18%. Reports of people killed ran at about three times the usual rate (9 stories).
78 of its 217 stories (36%) were about people being harmed, usually 26%. Ebola was named in 30 of its stories about harm, about 4 times usual.
Also named far more than usual: ebola in Kenya (30 of its stories, about 4 times its usual); flooding in New Zealand (24 of its stories, about 4 times its usual); malaria in Uganda (11 of its stories, about 4 times its usual); house fires in Australia (12 of its stories, about 8 times its usual); building collapse in India (19 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 1 Jun. 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 11,893 stories about harm among 68,956 counted on 1 Jun.
In Kenya's news, mentions of Ebola ran about 4 times their usual. Stories about people being harmed made up 17 in every 100 of the day's 68,956 stories, as usual. Brazil's news was 28% about people being harmed, against a usual 14%. On 1 June 2025, a year earlier, the share was 19 in every 100, against 17 today. Over May, 18 in every 100 stories were about people being harmed, against 19 in May 2025.
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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