Hong Kong
72 of its 95 stories (76%) were about people being harmed, usually 48%. Reports of arrests ran at more than ten times the usual rate (44 stories). Its coverage was about twice as angry as the world's.
We measure how the world's news covered people being harmed — and the help and hope within it.
72 of its 95 stories (76%) were about people being harmed, usually 48%. Reports of arrests ran at more than ten times the usual rate (44 stories). Its coverage was about twice as angry as the world's.
33 of its 43 stories (77%) were about people being harmed, usually 47%. Reports of people affected ran at about 4 times the usual rate (12 stories). Hunger was named in 10 of its stories about harm, more than ten times usual.
18 of its 26 stories (69%) were about people being harmed, usually 48%. Reports of arrests ran at about 4 times the usual rate (8 stories). Its coverage was about one and a half times as grief-stricken as the world's.
28 of its 41 stories (68%) were about people being harmed, usually 48%. 7 of Lilongwe's 9 stories were about protests or strikes.
91 of its 160 stories (57%) were about people being harmed, usually 41%. HIV was named in 11 of its stories about harm, more than ten times usual. Anger in its coverage rose to about one and a half times its own usual.
58 of its 72 stories (81%) were about people being harmed, usually 70%. Reports of people injured ran at about twice the usual rate (7 stories). Its coverage was about one and a half times as fearful as the world's.
178 of its 486 stories (37%) were about people being harmed, usually 30%. Tsunami was named in 22 of its stories about harm, about 5 times usual, with earthquake. Anger in its coverage rose to about one and a half times its own usual.
Tripoli accounted for 23 of Libya's 25 stories about harm, carried by 31 outlets. Reports of people injured ran at about twice the usual rate (10 stories). Its coverage was about twice as angry as the world's.
15 of its 29 stories (52%) were about people being harmed, usually 26%. Reports of people injured ran at about 5 times the usual rate (7 stories).
31 of its 58 stories (53%) were about people being harmed, usually 38%. Reports of people affected ran at about twice the usual rate (8 stories).
Also named far more than usual: wildfires in Ukraine (14 of its stories, about three times its usual); tsunami in Japan (22 of its stories, about 5 times its usual); hiv in Switzerland (11 of its stories, more than ten times its usual); flu in Germany (11 of its stories, about 4 times its usual); natural hazards in Pakistan (12 of its stories, about 9 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 18 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 26,693 stories about harm among 66,765 counted on 18 Apr.
In Colombia's news, mentions of the hunger ran more than ten times their usual. Stories about people being harmed made up 40 in every 100 of the day's 66,765 stories, below the usual 41. On 19 April 2019, a year earlier, the share was 19 in every 100, against 40 today. In Hong Kong, 76% of the news was about people being harmed, where 48% is usual.
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 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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