We measure how the world's news covered people being harmed — and the help and hope within it.
21 of its 26 stories (81%) were about people being harmed, usually 45%. Gitega accounted for 15 of Burundi's 21 stories about harm, carried by 16 outlets. Reports of arrests ran at about twice the usual rate (11 stories). Its coverage was about twice as grief-stricken as the world's.
24 of its 38 stories (63%) were about people being harmed, usually 44%. Reports of people injured ran at about three times the usual rate (14 stories). Its coverage was about twice as grief-stricken as the world's.
49 of its 62 stories (79%) were about people being harmed, usually 66%. 9 of Mandalay's 12 stories were about protests or strikes. Its coverage was about one and a half times as angry as the world's.
47 of its 155 stories (30%) were about people being harmed, usually 22%. Outbreaks were named in 17 of its stories about harm, about three times usual. Its coverage was about one and a half times as fearful as the world's.
49 of its 72 stories (68%) were about people being harmed, usually 56%. Tigray accounted for 38 of Ethiopia's 49 stories about harm, carried by 69 outlets. Its coverage was about twice as angry as the world's.
Reports of people displaced ran at about twice the usual rate (5 stories). Helicopter crash was named in 213 of its stories about harm, more than ten times usual. Its coverage was about one and a half times as grief-stricken as the world's.
Jammu accounted for 33 of Kashmir's 49 stories about harm, carried by 20 outlets. Reports of people displaced ran at more than ten times the usual rate (7 stories). Its coverage was about twice as fearful as the world's.
Kabul accounted for 77 of Afghanistan's 132 stories about harm, carried by 94 outlets. Reports of evacuations ran at about twice the usual rate (21 stories). Its coverage was about one and a half times as fearful as the world's.
17 of its 27 stories (63%) were about people being harmed, usually 29%. Dakar accounted for 15 of Senegal's 17 stories about harm, carried by 19 outlets.
612 of its 1,141 stories (54%) were about people being harmed, usually 46%. Its coverage was about one and a half times as fearful as the world's.
Also named far more than usual: helicopter crash in India (213 of its stories, more than ten times its usual); flooding in Ireland (44 of its stories, about three times its usual); earthquake in Germany (10 of its stories, more than ten times its usual); polio in Nigeria (11 of its stories, about 7 times its usual); tsunami in US (43 of its stories, about 4 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 8 Dec. 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 22,582 stories about harm among 90,378 counted on 8 Dec.
It was the second day running that the news turned to Burundi. of the day's 90,378 news stories, 25 in every 100 were about people being harmed, as usual. Norway's news mentioned outbreaks about three times as often as usual. Burundi's news was 81% about people being harmed, against a usual 45%. A year earlier, on 8 December 2020, 25 in every 100 stories were about people being harmed, the same as 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 about as 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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