We measure how the world's news covered people being harmed — and the help and hope within it.
157 of its 264 stories (59%) were about people being harmed, usually 44%. Jerusalem accounted for 86 of Israel's 157 stories about harm, carried by 59 outlets. Reports of people affected ran at about three times the usual rate (25 stories). Flooding was named in 11 of its stories about harm, more than ten times usual.
88 of its 184 stories (48%) were about people being harmed, usually 33%. 19 of Sao Paulo's 32 stories were about protests or strikes. Reports of people killed ran at about twice the usual rate (47 stories). Flu was named in 35 of its stories about harm, about 6 times usual.
10 of its 18 stories (56%) were about people being harmed, usually 27%. Reports of people killed ran at about twice the usual rate (5 stories). Its coverage was about one and a half times as grief-stricken as the world's.
27 of its 41 stories (66%) were about people being harmed, usually 38%. Reports of arrests ran at about twice the usual rate (7 stories).
81 of its 95 stories (85%) were about people being harmed, usually 34%. the Panama Canal accounted for 55 of Panama's 81 stories about harm, carried by 228 outlets. Reports of people killed ran at about 7 times the usual rate (61 stories).
11,278 of its 22,140 stories (51%) were about people being harmed, usually 37%. Reports of people injured ran at about twice the usual rate (663 stories). Accidents were named in 22 of its stories about harm, about 9 times usual.
1,997 of its 4,203 stories (48%) were about people being harmed, usually 34%. Reports of people killed ran at about twice the usual rate (702 stories). Grief in its coverage rose to about one and a half times its own usual.
75 of its 150 stories (50%) were about people being harmed, usually 33%. Reports of people killed ran at about twice the usual rate (24 stories). Its coverage was about twice as angry as the world's.
267 of its 547 stories (49%) were about people being harmed, usually 36%. Reports of people injured ran at about three times the usual rate (7 stories). Its coverage was about three times as grief-stricken as the world's.
Reports of people falling ill ran at about 4 times the usual rate (6 stories). Poisoning was named in 18 of its stories about harm, about 8 times usual. Its coverage was about twice as grief-stricken as the world's.
Also named far more than usual: covid in Syria (40 of its stories, about 4 times its usual); outbreaks in Iraq (27 of its stories, about three times its usual); covid in Somalia (15 of its stories, about three times its usual); earthquake in Indonesia (14 of its stories, about 4 times its usual); poisoning in Iran (18 of its stories, about 8 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 28 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 29,820 stories about harm among 69,051 counted on 28 Mar.
Of the day's 69,051 news stories, 43 in every 100 were about people being harmed, above the usual 33. On 29 March 2019, a year earlier, the share was 19 in every 100, against 43 today. Israel's news was 59% about people being harmed, against a usual 44%.
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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