We measure how the world's news covered people being harmed — and the help and hope within it.
151 of its 358 stories (42%) were about people being harmed, usually 25%. Beirut accounted for 131 of Lebanon's 151 stories about harm, carried by 322 outlets. 118 of Beirut's 131 stories were about protests or strikes. Reports of people injured ran at more than ten times the usual rate (87 stories). Power cuts were named in 10 of its stories about harm, more than ten times usual. Its coverage was about one and a half times as angry as the world's.
47 of its 67 stories (70%) were about people being harmed, usually 42%. Juba accounted for 33 of South Sudan's 47 stories about harm, carried by 30 outlets. Reports of people killed ran at about 4 times the usual rate (34 stories). Hunger was named in 30 of its stories about harm, about 9 times usual.
16 of its 39 stories (41%) were about people being harmed, usually 18%. Reports of people killed ran at about 4 times the usual rate (12 stories). Its coverage was about twice as grief-stricken as the world's.
43 of its 146 stories (29%) were about people being harmed, usually 17%. Its coverage was about one and a half times as grief-stricken as the world's.
229 of its 291 stories (79%) were about people being harmed, usually 61%. Jalalabad accounted for 70 of Afghanistan's 229 stories about harm, carried by 420 outlets. Reports of refugees ran at about twice the usual rate (8 stories). Its coverage was about 4 times as grief-stricken as the world's.
47 of its 120 stories (39%) were about people being harmed, usually 27%. 7 of Caracas' 14 stories were about protests or strikes. Reports of arrests ran at about three times the usual rate (17 stories).
85 of its 164 stories (52%) were about people being harmed, usually 33%. Reports of people injured ran at more than ten times the usual rate (25 stories).
12 of its 16 stories (75%) were about people being harmed, usually 33%. 7 of Conakry's 7 stories were about protests or strikes.
16 of its 60 stories (27%) were about people being harmed, usually 12%. Reports of people killed ran at about twice the usual rate (6 stories).
23 of its 76 stories (30%) were about people being harmed, usually 17%. Reports of people killed ran at about twice the usual rate (8 stories).
Also named far more than usual: earthquake in Philippines (45 of its stories, about three times its usual); flooding in Ghana (25 of its stories, about 10 times its usual); heavy rain in Kenya (12 of its stories, about 6 times its usual); outbreaks in Nigeria (30 of its stories, about three times its usual); outbreaks in Germany (10 of its stories, more than ten times its usual).
Stories about people being harmed, in every 100 stories, the 30 days to 18 Oct. 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 21,242 stories about harm among 123,091 counted on 18 Oct.
In South Sudan's news, mentions of the hunger ran about 9 times their usual. Stories about people being harmed made up 17 in every 100 of the day's 123,091 stories, as usual. Lebanon's news was 42% about people being harmed, against a usual 25%. On 18 October 2018, a year earlier, the share was 19 in every 100, against 17 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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