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366 days ago, a brave woman kicked off #metoo on Twitter.
It’s not who you think it is.
To this day, her tweet has 5 RTs and 5 likes.
Here’s the story of how #MeToo spread 👇
The New Mexico woman was not the first one to ever post this status.
But she was the first to transfer #metoo from the relatively private confines of Facebook (which saw 12M posts over 24h) to the *public* square of Twitter.
There, the cultural reboot could begin.
was the one to blow it up and begin to show the "true magnitude of the problem."
https://t.co/uTev7crohE
Over the next 3 days, the network generated 628,457 nodes (tweets + retweets).
But most of the sharing was carried out by a highly cohesive network of 57,074 accounts (77% female, 73% in US, 55% aged 18-34) which guaranteed a fast viral spread
Graph + segmentation: @AudienseCo
"It's an extremely dense network" says @abc3d (who made this viz with @PulsarPlatform + @Gephi).
"Almost every single tweet here has a retweet, which is super unusual for any Twitter dataset I've seen."
blue = tweets
yellow = retweets
It’s not who you think it is.
To this day, her tweet has 5 RTs and 5 likes.
Here’s the story of how #MeToo spread 👇

The New Mexico woman was not the first one to ever post this status.
But she was the first to transfer #metoo from the relatively private confines of Facebook (which saw 12M posts over 24h) to the *public* square of Twitter.
There, the cultural reboot could begin.

was the one to blow it up and begin to show the "true magnitude of the problem."
https://t.co/uTev7crohE

If you\u2019ve been sexually harassed or assaulted write \u2018me too\u2019 as a reply to this tweet. pic.twitter.com/k2oeCiUf9n
— Alyssa Milano (@Alyssa_Milano) October 15, 2017
Over the next 3 days, the network generated 628,457 nodes (tweets + retweets).
But most of the sharing was carried out by a highly cohesive network of 57,074 accounts (77% female, 73% in US, 55% aged 18-34) which guaranteed a fast viral spread
Graph + segmentation: @AudienseCo

"It's an extremely dense network" says @abc3d (who made this viz with @PulsarPlatform + @Gephi).
"Almost every single tweet here has a retweet, which is super unusual for any Twitter dataset I've seen."
blue = tweets
yellow = retweets
