We measure how the world's news covered people being harmed — and the help and hope within it.
272 of its 317 stories (86%) were about people being harmed, usually 67%. Jalalabad accounted for 166 of Afghanistan's 272 stories about harm, carried by 444 outlets. Reports of arrests ran at about three times the usual rate (132 stories). Its coverage was about 4 times as angry as the world's.
234 of its 695 stories (34%) were about people being harmed, usually 26%. Reports of arrests ran at about 4 times the usual rate (45 stories). Drownings were named in 34 of its stories about harm, more than ten times usual, with heatwave. Its coverage was about one and a half times as warm as the world's.
74 of its 165 stories (45%) were about people being harmed, usually 35%.
6 of its 6 stories (100%) were about people being harmed, usually 37%.
77 of its 176 stories (44%) were about people being harmed, usually 37%. Beirut accounted for 62 of Lebanon's 77 stories about harm, carried by 112 outlets. Reports of people injured ran at about 6 times the usual rate (15 stories). Its coverage was about one and a half times as fearful as the world's.
81 of its 137 stories (59%) were about people being harmed, usually 26%. Reports of people falling ill ran at more than ten times the usual rate (14 stories). Outbreaks were named in 62 of its stories about harm, about 5 times usual.
26 of its 38 stories (68%) were about people being harmed, usually 34%. Reports of people killed ran at about 4 times the usual rate (23 stories). Outbreaks were named in 19 of its stories about harm, about 7 times usual.
132 of its 254 stories (52%) were about people being harmed, usually 37%. da Nang accounted for 67 of Vietnam's 132 stories about harm, carried by 71 outlets. Reports of people killed ran at about three times the usual rate (72 stories).
193 of its 515 stories (37%) were about people being harmed, usually 25%. Reports of people killed ran at about twice the usual rate (80 stories). Bridge collapse was named in 12 of its stories about harm, about 6 times usual.
243 of its 772 stories (31%) were about people being harmed, usually 23%. Reports of people injured ran at about twice the usual rate (6 stories). Its coverage was about one and a half times as warm as the world's.
Also named far more than usual: outbreaks in Norway (62 of its stories, about 5 times its usual); outbreaks in Gambia (19 of its stories, about 7 times its usual); landslides in South Korea (20 of its stories, more than ten times its usual); tropical storm in US (905 of its stories, about 5 times its usual); storms in New Zealand (14 of its stories, about 5 times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 3 Aug. 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 26,395 stories about harm among 89,637 counted on 3 Aug.
It was the fourth day running that the news turned to Afghanistan. of the day's 89,637 news stories, 29 in every 100 were about people being harmed, as usual. A year earlier, on 4 August 2019, 31 in every 100 stories were about people being harmed, against 29 today. Afghanistan's news was 86% about people being harmed, against a usual 67%.
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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