Antisemitic tweets soared on Twitter after Musk took over, study finds
washingtonpost.com
Antisemitic tweets soared on Twitter after Musk took over, study finds
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Re: Antisemitic tweets soared on Twitter after Musk took over, study finds
#2> The analysis found an average of over 6,200 posts per week appearing to contain antisemitic language between June 1 and Oct. 27
> [T]hat figure rose to over 12,700 through early February — a 105 percent increase.
> a three-fold increase in the rate of “hateful account creation.”
> "a sustained volume of antisemitic hate speech on the platform following the takeover”
> “Calling for, aiding, or justifying the killing or harming of Jews”
> Twitter replied to a request for comment with an email containing a poop emoji.
Re: Antisemitic tweets soared on Twitter after Musk took over, study finds
#3> The analysis found an average of over 6,200 posts per week appearing to contain antisemitic language between June 1 and Oct. 27 > [T]hat figure rose to over 12,700 through early February — a 105 percent increase. > a three-fold increase in the rate of “hateful account creation.” > "a sustained volume of antisemitic hate speech on the platform following the takeover” > “Calling for, aiding, or justifying the killing…
> Every WaPo subscription comes with free access to "headspace" meditation training, in case you're "feeling overwhelmed by it all".
Re: Antisemitic tweets soared on Twitter after Musk took over, study finds
#4Does anyone have link to the source paper that keeps being mentioned in the article?
Asking because there was one thing they didn't address in the article that feels kind of too relevant to omit - the total number of tweets/week before and after Musk taking over. The article only mentions raw counts of antisemitic tweets before and after. That's pretty important.
For example, if the overall number of tweets/week increased by 3x, and the number of antisemitic tweets/week increased by 2.5x, that would actually be a reduction in the percentage of antisemitic tweets (even though their raw count more than doubled). That information can only be known if there is a raw count of all tweets available for the same points in time.
Disclaimer: I am not disagreeing with the conclusion of the article, I just want to see how they arrived at their conclusion and what methodology they used to measure that increase.