Re:Analysis of 200M tweets discussing coronavirus suggests 4...
by mch82 on Saturday May 30, 2020 @12:19PM
(#23362203)
This quote from the CMU article lines up with the headline on this HN discussion thread (200M, 62%, bots, COVID-19):
> CMU researchers since January have collected more than 200 million tweets discussing coronavirus or COVID-19. Of the top 50 influential retweeters, 82% are bots, they found. Of the top 1,000 retweeters, 62% are bots.
Fascinating article. Thank you for taking the time to find it.
Re:Analysis of 200M tweets discussing coronavirus suggests 4...
by leereeves on Saturday May 30, 2020 @12:27PM
(#23362279)
That suggests an entirely different conclusion: that bots are better at becoming influential on Twitter than people are.
Re:Analysis of 200M tweets discussing coronavirus suggests 4...
by dmix on Saturday May 30, 2020 @12:52PM
(#23362513)
Influential if you want your audience to be entirely made of other bots.
Re:Analysis of 200M tweets discussing coronavirus suggests 4...
by zaxm on Saturday May 30, 2020 @12:33PM
(#23362317)
without peer review or even an arxiv link these numbers might as well be pulled out of thin air
Re:Analysis of 200M tweets discussing coronavirus suggests 4...
by mch82 on Sunday May 31, 2020 @02:13AM
(#23367604)
Carnegie Mellon University has credibility and is highly ranked (https://www.usnews.com/best-colleges/carnegie-mellon-univers...), so a press release from them is more credible than thin air or a random blog.
https://www.cs.cmu.edu/news/nearly-half-twitter-accounts-dis...
I imagine they're going to publish the research, but it doesn't look like they have yet.
...though some of their methods are described.