Scientific Blackpill: Difference between revisions

Jump to navigation Jump to search
m
Line 3,480: Line 3,480:
A data analysis of Twitter in 2014 by Bartlett et al. for the UK 'think tank' Demos demonstrated that women appear to write at least 45% of the "misogynistic" tweets on Twitter, containing words like "slut," "whore," and "rape," almost equal to the amount attributable to men.
A data analysis of Twitter in 2014 by Bartlett et al. for the UK 'think tank' Demos demonstrated that women appear to write at least 45% of the "misogynistic" tweets on Twitter, containing words like "slut," "whore," and "rape," almost equal to the amount attributable to men.


A later analysis by Brandwatch in 2016, examining 64.8K gender related tweets, had the number even higher with female accounts producing 61.3% of tweets containing the slurs "slut" and "whore".
A later analysis by Brandwatch in 2016, examining 64.8K gender related tweets, had the number even higher, with female accounts producing 61.3% of tweets containing the slurs "slut" and "whore".


Gender was calculated by matching the first name in someone’s Twitter bio to a large database of names, which were then used to assign a gender.
Gender was calculated by matching the first name in someone’s Twitter bio to a large database of names, which were then used to assign a gender.

Navigation menu