We measure how the world's news covered people being harmed — and the help and hope within it.
239 of its 577 stories (41%) were about people being harmed, usually 34%. Dhaka accounted for 153 of Bangladesh's 239 stories about harm, carried by 123 outlets. Reports of people displaced ran at more than ten times the usual rate (6 stories). Its coverage was about 4 times as grief-stricken as the world's.
1,412 of its 2,236 stories (63%) were about people being harmed, usually 40%. Reports of people affected ran at about 4 times the usual rate (362 stories). Flu was named in 116 of its stories about harm, about 4 times usual.
120 of its 238 stories (50%) were about people being harmed, usually 24%. Port-au-Prince accounted for 112 of Haiti's 120 stories about harm, carried by 199 outlets. 109 of Port-au-Prince's 112 stories were about protests or strikes.
85 of its 300 stories (28%) were about people being harmed, usually 17%. Reports of people killed ran at about 6 times the usual rate (73 stories). Its coverage was about one and a half times as angry as the world's.
151 of its 281 stories (54%) were about people being harmed, usually 37%. 54 of Aung Hlaing's 56 stories were about protests or strikes. Reports of people killed ran at about three times the usual rate (95 stories).
299 of its 353 stories (85%) were about people being harmed, usually 70%. Mogadishu accounted for 248 of Somalia's 299 stories about harm, carried by 229 outlets. Reports of people injured ran at about 5 times the usual rate (213 stories).
408 of its 806 stories (51%) were about people being harmed, usually 38%. Reports of arrests ran at about 5 times the usual rate (101 stories). Its coverage was about twice as fearful as the world's.
35 of its 112 stories (31%) were about people being harmed, usually 22%. 12 of Skopje's 17 stories were about protests or strikes. Reports of people killed ran at about three times the usual rate (16 stories).
Kabul accounted for 308 of Afghanistan's 696 stories about harm, carried by 277 outlets. Reports of arrests ran at about three times the usual rate (90 stories). Its coverage was about twice as angry as the world's.
142 of Karachi's 265 stories were about protests or strikes. Reports of people displaced ran at about 5 times the usual rate (15 stories). Power cuts were named in 12 of its stories about harm, about 6 times usual.
Also named far more than usual: poisoning in Taiwan (61 of its stories, about 5 times its usual); cyclone in Argentina (11 of its stories, more than ten times its usual); house fires in Mexico (36 of its stories, more than ten times its usual); respiratory illness in Ireland (23 of its stories, more than ten times its usual); hepatitis in Japan (23 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 2 Feb. 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 48,772 stories about harm among 254,308 counted on 2 Feb.
Help and hope: reports of vaccination ran at about three times the usual rate. People falling ill were reported at about twice the usual rate, most often about the US and Mexico. Taiwan's news mentioned poisoning about 5 times as often as usual. 19 in every 100 of the day's 254,308 news stories were about people being harmed, below the usual 21.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
Each country shaded by how much of its news was about people being harmed, against the world's 19 in 100 that day. Stronger colour: further above. A country with few stories is drawn closer to the world's. Click a country.
Stories, not people. Countries with at least 50 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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