We measure how the world's news covered people being harmed — and the help and hope within it.
139 of its 210 stories (66%) were about people being harmed, usually 50%. Reports of people displaced ran at about 4 times the usual rate (9 stories). Landslides were named in 83 of its stories about harm, about 7 times usual, with cyclone, flooding and heavy rain. Its coverage was about twice as grief-stricken as the world's.
64 of its 107 stories (60%) were about people being harmed, usually 42%. Darfur accounted for 54 of Sudan's 64 stories about harm, carried by 77 outlets. Reports of people injured ran at about 6 times the usual rate (52 stories). Its coverage was about twice as angry as the world's. Grief in its coverage rose to about twice its own usual.
Yangon accounted for 27 of Myanmar's 46 stories about harm, carried by 88 outlets. 24 of Yangon's 27 stories were about protests or strikes. Reports of people displaced ran at more than ten times the usual rate (6 stories). Its coverage was about one and a half times as angry as the world's.
122 of its 205 stories (60%) were about people being harmed, usually 46%. Dhaka accounted for 86 of Bangladesh's 122 stories about harm, carried by 69 outlets. Its coverage was about twice as grief-stricken as the world's.
32 of its 56 stories (57%) were about people being harmed, usually 41%. Kathmandu accounted for 20 of Nepal's 32 stories about harm, carried by 22 outlets. Reports of people affected ran at about three times the usual rate (8 stories).
78 of its 90 stories (87%) were about people being harmed, usually 75%. Cabo Delgado accounted for 41 of Mozambique's 78 stories about harm, carried by 98 outlets. Its coverage was about twice as fearful as the world's.
Reports of people injured ran at about three times the usual rate (13 stories). Tuberculosis was named in 62 of its stories about harm, more than ten times usual, with respiratory illness and ebola. Its coverage was about one and a half times as angry as the world's.
63 of its 152 stories (41%) were about people being harmed, usually 26%. Reports of evacuations ran at more than ten times the usual rate (11 stories).
16 of its 38 stories (42%) were about people being harmed, usually 23%. Reports of people killed ran at about twice the usual rate (9 stories).
24 of its 51 stories (47%) were about people being harmed, usually 31%. Its coverage was about one and a half times as grief-stricken as the world's.
Also named far more than usual: tuberculosis in Russia (62 of its stories, more than ten times its usual); outbreaks in New Zealand (47 of its stories, about 4 times its usual); covid in Iceland (17 of its stories, about 4 times its usual); illness in Saudi Arabia (23 of its stories, about three times its usual); earthquake in India (19 of its stories, about 4 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 6 Apr. 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 22,164 stories about harm among 89,069 counted on 6 Apr.
25 in every 100 of the day's 89,069 news stories were about people being harmed, as usual. On 6 April 2020, a year earlier, the share was 41 in every 100, against 25 today.
Written by code from the day's numbers.
Countries with at least 50 stories that day.
Stories, not people.
The day's biggest events: attacks, accidents and disasters, people displaced, protests, outbreaks. Bigger dot: more stories. Ranked by the share of the day's outlets that reported it and how clearly it was about one thing, the same way for every place and year; the news data does not say who attacked whom, so both sides of a war appear where the news put them. Click a dot for its 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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