We measure how the world's news covered people being harmed — and the help and hope within it.
126 of its 267 stories (47%) were about people being harmed, usually 34%. Reports of people killed ran at about twice the usual rate (60 stories). Flu was named in 35 of its stories about harm, about three times usual, with malaria. Its coverage was about one and a half times as fearful as the world's. Grief in its coverage rose to about one and a half times its own usual.
32 of its 42 stories (76%) were about people being harmed, usually 55%. Reports of people displaced ran at about three times the usual rate (5 stories). Its coverage was about twice as angry as the world's. Grief in its coverage rose to about one and a half times its own usual.
18 of its 27 stories (67%) were about people being harmed, usually 37%.
162 of its 270 stories (60%) were about people being harmed, usually 53%. Jakarta accounted for 88 of Indonesia's 162 stories about harm, carried by 45 outlets. Reports of people injured ran at about three times the usual rate (15 stories). Anger in its coverage rose to about one and a half times its own usual.
1,025 of its 1,578 stories (65%) were about people being harmed, usually 41%. Reports of evacuations ran at about twice the usual rate (12 stories). Tuberculosis was named in 26 of its stories about harm, about 4 times usual.
32 of its 40 stories (80%) were about people being harmed, usually 54%. Reports of refugees ran at about three times the usual rate (5 stories). Its coverage was about one and a half times as fearful as the world's.
38 of its 52 stories (73%) were about people being harmed, usually 52%. Reports of arrests ran at about twice the usual rate (6 stories). Illness was named in 17 of its stories about harm, about three times usual.
108 of its 196 stories (55%) were about people being harmed, usually 43%. Reports of arrests ran at about three times the usual rate (18 stories). Its coverage was about one and a half times as grief-stricken as the world's.
15,751 of its 32,724 stories (48%) were about people being harmed, usually 39%. Reports of people injured ran at about twice the usual rate (1,013 stories). Grief in its coverage rose to about one and a half times its own usual.
417 of its 873 stories (48%) were about people being harmed, usually 38%. Tsunami was named in 17 of its stories about harm, about 7 times usual. Its coverage was about three times as grief-stricken as the world's.
Also named far more than usual: illness in Sudan (17 of its stories, about three times its usual); illness in Iraq (17 of its stories, about three times its usual); hunger in Zimbabwe (19 of its stories, about 7 times its usual); malaria in France (23 of its stories, about 6 times its usual); house fires in Israel (21 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 30 Mar. 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 45,503 stories about harm among 111,294 counted on 30 Mar.
41 in every 100 of the day's 111,294 news stories were about people being harmed, above the usual 34. On 31 March 2019, a year earlier, the share was 19 in every 100, against 41 today. Brazil stood out: 47% of its news was about people being harmed, usually 34%.
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 41 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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