We measure how the world's news covered people being harmed — and the help and hope within it.
353 of its 435 stories (81%) were about people being harmed, usually 26%. Hualien accounted for 195 of Taiwan's 353 stories about harm, carried by 506 outlets. Reports of evacuations ran at more than ten times the usual rate (57 stories). Train derailment was named in 286 of its stories about harm, more than ten times usual. Its coverage was about three times as grief-stricken as the world's.
75 of its 108 stories (69%) were about people being harmed, usually 54%. Tigray accounted for 62 of Ethiopia's 75 stories about harm, carried by 157 outlets. Reports of people displaced ran at about three times the usual rate (29 stories). Its coverage was about twice as grief-stricken as the world's.
Yangon accounted for 41 of Myanmar's 64 stories about harm, carried by 62 outlets. 36 of Yangon's 41 stories were about protests or strikes. Reports of people affected ran at about 4 times the usual rate (7 stories). Its coverage was about twice as angry as the world's.
83 of its 147 stories (56%) were about people being harmed, usually 35%. Reports of abductions ran at more than ten times the usual rate (13 stories). Its coverage was about twice as fearful as the world's. Anger in its coverage rose to about one and a half times its own usual.
44 of its 89 stories (49%) were about people being harmed, usually 28%. Brussels accounted for 39 of Belgium's 44 stories about harm, carried by 47 outlets. Reports of people injured ran at more than ten times the usual rate (24 stories).
24 of its 32 stories (75%) were about people being harmed, usually 41%. Reports of people injured ran at about twice the usual rate (10 stories). Its coverage was about three times as angry as the world's.
27 of its 43 stories (63%) were about people being harmed, usually 39%. Reports of refugees ran at about 7 times the usual rate (5 stories). Its coverage was about three times as angry as the world's.
66 of its 80 stories (82%) were about people being harmed, usually 73%. Cabo Delgado accounted for 36 of Mozambique's 66 stories about harm, carried by 32 outlets. Its coverage was about twice as angry as the world's.
74 of its 206 stories (36%) were about people being harmed, usually 27%. Reports of people affected ran at about three times the usual rate (13 stories).
93 of its 175 stories (53%) were about people being harmed, usually 45%. Reports of refugees ran at about twice the usual rate (24 stories).
Also named far more than usual: snowstorms in UK (10 of its stories, more than ten times its usual); plane crash in US (17 of its stories, about three times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 2 Apr. 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 19,329 stories about harm among 74,869 counted on 2 Apr.
Taiwan stood out: 81% of its news was about people being harmed, usually 26%. 26 in every 100 of the day's 74,869 news stories were about people being harmed, as usual. In Taiwan's news, mentions of train derailment ran more than ten times their usual. On 2 April 2020, a year earlier, the share was 41 in every 100, against 26 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 harsher 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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