We measure how the world's news covered people being harmed — and the help and hope within it.
122 of its 185 stories (66%) were about people being harmed, usually 45%. Tehran accounted for 83 of Iran's 122 stories about harm, carried by 225 outlets. 56 of Tehran's 83 stories were about protests or strikes. Reports of people affected ran at about 4 times the usual rate (22 stories). Its coverage was about one and a half times as warm as the world's.
274 of its 392 stories (70%) were about people being harmed, usually 61%. Gaza accounted for 224 of Palestine's 274 stories about harm, carried by 411 outlets. Hunger was named in 26 of its stories about harm, about three times usual. Its coverage was about twice as angry as the world's.
40 of its 133 stories (30%) were about people being harmed, usually 19%. Flooding was named in 16 of its stories about harm, more than ten times usual, with covid, cyclone and drownings. Grief in its coverage rose to about one and a half times its own usual.
55 of its 126 stories (44%) were about people being harmed, usually 16%. Buenos Aires accounted for 42 of Argentina's 55 stories about harm, carried by 286 outlets.
59 of its 217 stories (27%) were about people being harmed, usually 19%. Cairo accounted for 47 of Egypt's 59 stories about harm, carried by 146 outlets. 24 of Cairo's 47 stories were about protests or strikes. Reports of arrests ran at about 6 times the usual rate (27 stories). Landslides were named in 11 of its stories about harm, more than ten times usual.
17 of its 28 stories (61%) were about people being harmed, usually 37%. Its coverage was about one and a half times as angry as the world's.
33 of its 116 stories (28%) were about people being harmed, usually 17%. Reports of arrests ran at about twice the usual rate (10 stories).
Reports of people injured ran at about three times the usual rate (30 stories). Its coverage was about one and a half times as fearful as the world's.
Dhaka accounted for 45 of Bangladesh's 73 stories about harm, carried by 38 outlets. Anger in its coverage rose to about one and a half times its own usual.
Reports of people injured ran at about 4 times the usual rate (8 stories). Anger in its coverage rose to about one and a half times its own usual.
Also named far more than usual: flooding in Ireland (38 of its stories, about 5 times its usual); tornadoes in US (288 of its stories, more than ten times its usual); landslides in Egypt (11 of its stories, more than ten times its usual); cyclone in Australia (23 of its stories, about 5 times its usual); house fires in UK (14 of its stories, about 4 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 10 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 10,362 stories about harm among 51,376 counted on 10 Dec.
It was the second day running that the news turned to Iran. of the day's 51,376 news stories, 20 in every 100 were about people being harmed, above the usual 19. Ireland's news mentioned flooding about 5 times as often as usual. Iran's news was 66% about people being harmed, against a usual 45%. A year earlier, on 10 December 2022, 20 in every 100 stories were about people being harmed, the same as today. This week the news turned most often to the Philippines, on 3 of 7 days.
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 20 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 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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