We measure how the world's news covered people being harmed — and the help and hope within it.
263 of its 384 stories (68%) were about people being harmed, usually 37%. Beirut accounted for 250 of Lebanon's 263 stories about harm, carried by 337 outlets. 198 of Beirut's 250 stories were about protests or strikes. Reports of people injured ran at more than ten times the usual rate (161 stories). Its coverage was about twice as angry as the world's. Grief in its coverage rose to about twice its own usual.
303 of its 494 stories (61%) were about people being harmed, usually 22%. Kongsberg accounted for 214 of Norway's 303 stories about harm, carried by 546 outlets. Reports of people injured ran at more than ten times the usual rate (180 stories). Its coverage was about 4 times as angry as the world's.
183 of its 320 stories (57%) were about people being harmed, usually 25%. Reports of people injured ran at more than ten times the usual rate (100 stories). Its coverage was about twice as grief-stricken as the world's.
81 of its 180 stories (45%) were about people being harmed, usually 38%. Reports of people injured ran at about three times the usual rate (8 stories). Outbreaks were named in 14 of its stories about harm, about 4 times usual.
110 of its 186 stories (59%) were about people being harmed, usually 45%. Dhaka accounted for 71 of Bangladesh's 110 stories about harm, carried by 90 outlets. Reports of people injured ran at about 5 times the usual rate (24 stories). Its coverage was about one and a half times as grief-stricken as the world's.
46 of its 76 stories (61%) were about people being harmed, usually 46%. Tigray accounted for 34 of Ethiopia's 46 stories about harm, carried by 77 outlets. Its coverage was about one and a half times as angry as the world's.
343 of its 682 stories (50%) were about people being harmed, usually 44%. Reports of people affected ran at about twice the usual rate (55 stories). Tropical storm was named in 41 of its stories about harm, about 4 times usual, with typhoon.
Kabul accounted for 153 of Afghanistan's 246 stories about harm, carried by 231 outlets. Reports of evacuations ran at about twice the usual rate (47 stories). Its coverage was about one and a half times as fearful as the world's.
37 of its 48 stories (77%) were about people being harmed, usually 45%. 14 of Mbabane's 18 stories were about protests or strikes.
20 of its 25 stories (80%) were about people being harmed, usually 38%. 15 of Tbilisi's 18 stories were about protests or strikes.
Also named far more than usual: hurricane in Mexico (16 of its stories, about 4 times its usual); illness in Türkiye (13 of its stories, about three times its usual); tropical storm in Philippines (41 of its stories, about 4 times its usual); tornadoes in Australia (26 of its stories, about 8 times its usual); heatwave in Canada (10 of its stories, about 4 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 14 Oct. 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 23,370 stories about harm among 91,885 counted on 14 Oct.
Stories about people being harmed made up 25 in every 100 of the day's 91,885 stories, as usual. A year earlier, on 14 October 2020, 26 in every 100 stories were about people being harmed, against 25 today.
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 25 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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