We measure how the world's news covered people being harmed — and the help and hope within it.
Tehran accounted for 31 of Iran's 65 stories about harm, carried by 54 outlets. 18 of Tehran's 31 stories were about protests or strikes. Reports of people affected ran at about twice the usual rate (6 stories). Poisoning was named in 10 of its stories about harm, more than ten times usual. Its coverage was about twice as angry as the world's.
198 of its 565 stories (35%) were about people being harmed, usually 15%. Reports of people affected ran at about 6 times the usual rate (99 stories). Drownings were named in 28 of its stories about harm, about 5 times usual. Its coverage was about twice as grief-stricken as the world's.
127 of its 148 stories (86%) were about people being harmed, usually 67%. Nablus accounted for 81 of Palestine's 127 stories about harm, carried by 78 outlets. Reports of evacuations ran at about 8 times the usual rate (13 stories). Its coverage was about twice as angry as the world's.
70 of its 167 stories (42%) were about people being harmed, usually 27%. Reports of people killed ran at about three times the usual rate (15 stories). Its coverage was about twice as grief-stricken as the world's.
222 of its 442 stories (50%) were about people being harmed, usually 44%. Jerusalem accounted for 106 of Israel's 222 stories about harm, carried by 315 outlets. Reports of evacuations ran at about 5 times the usual rate (6 stories). Its coverage was about twice as fearful as the world's.
48 of its 60 stories (80%) were about people being harmed, usually 52%. Sanaa accounted for 27 of Yemen's 48 stories about harm, carried by 42 outlets. Hunger was named in 16 of its stories about harm, about 5 times usual, with drought and flooding.
20 of its 30 stories (67%) were about people being harmed, usually 51%. Ebola was named in 14 of its stories about harm, more than ten times usual, with outbreaks. Its coverage was about one and a half times as angry as the world's.
112 of Delhi's 191 stories were about protests or strikes. Reports of evacuations ran at about twice the usual rate (5 stories). Natural hazards were named in 10 of its stories about harm, about 4 times usual.
Reports of refugees ran at about three times the usual rate (5 stories). Drownings were named in 10 of its stories about harm, about 4 times usual. Its coverage was about twice as fearful as the world's.
23 of its 31 stories (74%) were about people being harmed, usually 19%. Hunger was named in 13 of its stories about harm, about 5 times usual.
Also named far more than usual: drought in Kenya (24 of its stories, about 4 times its usual); bird flu in Cambodia (16 of its stories, about three times its usual); ebola in Congo (14 of its stories, more than ten times its usual); hunger in North Korea (13 of its stories, about 5 times its usual); hunger in Yemen (16 of its stories, about 5 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 27 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 12,976 stories about harm among 66,710 counted on 27 Feb.
Stories about people being harmed made up 19 in every 100 of the day's 66,710 stories, as usual. On 27 February 2022, a year earlier, the share was 23 in every 100, against 19 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 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 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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