We measure how the world's news covered people being harmed — and the help and hope within it.
84 of its 123 stories (68%) were about people being harmed, usually 51%. 19 of Ramallah's 35 stories were about protests or strikes. Reports of people injured ran at about 9 times the usual rate (16 stories). Its coverage was about twice as grief-stricken as the world's. Anger in its coverage rose to about twice its own usual.
283 of its 327 stories (87%) were about people being harmed, usually 72%. Kabul accounted for 243 of Afghanistan's 283 stories about harm, carried by 323 outlets. Reports of evacuations ran at about 6 times the usual rate (29 stories). Its coverage was about 6 times as angry as the world's.
Reports of people affected ran at about three times the usual rate (21 stories). Train derailment was named in 11 of its stories about harm, more than ten times usual. Its coverage was about twice as grief-stricken as the world's.
8 of its 9 stories (89%) were about people being harmed, usually 33%. Its coverage was about twice as grief-stricken as the world's.
11 of its 14 stories (79%) were about people being harmed, usually 53%. 5 of Conakry's 7 stories were about protests or strikes. Anger in its coverage rose to about one and a half times its own usual.
Jerusalem accounted for 192 of Israel's 338 stories about harm, carried by 246 outlets. Reports of people injured ran at about twice the usual rate (51 stories). Road crashes were named in 13 of its stories about harm, more than ten times usual.
36 of its 76 stories (47%) were about people being harmed, usually 38%. Reports of people killed ran at about twice the usual rate (21 stories).
Seoul accounted for 152 of South Korea's 244 stories about harm, carried by 344 outlets. Reports of arrests ran at about three times the usual rate (10 stories).
Respiratory illness was named in 36 of its stories about harm, about 8 times usual. Its coverage was about one and a half times as grief-stricken as the world's. Anger in its coverage rose to about one and a half times its own usual.
Jakarta accounted for 77 of Indonesia's 146 stories about harm, carried by 59 outlets. Reports of people injured ran at about twice the usual rate (5 stories).
Also named far more than usual: natural hazards in Malaysia (32 of its stories, about 4 times its usual); hiv in Switzerland (14 of its stories, more than ten times its usual); respiratory illness in Spain (36 of its stories, about 8 times its usual); tropical storm in Philippines (36 of its stories, more than ten times its usual); road crashes in Israel (13 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 13 May. 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 39,917 stories about harm among 118,245 counted on 13 May.
Switzerland's news mentioned HIV more than ten times as often as usual. 34 in every 100 of the day's 118,245 news stories were about people being harmed, below the usual 37. A year earlier, on 14 May 2019, 19 in every 100 stories were about people being harmed, against 34 today. Palestine stood out: 68% of its news was about people being harmed, usually 51%.
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 about as 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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