A good starting point is to use large-scale network analysis on the bots to establish to what extent they are connected (e.g by mentions, retweets or follows) and then see if there are any outliers in the resulting network that look more organic (applying something like the Botometer API). Source: over 1 year ago

If in doubt about a user, ask them directly if they are being paid for their time online. Often the response is cagey, insulting, or redirecting, which should tell you everything you need to know. If they deny that they're being paid, check their post history to see how many hours a day they are posting, and which hours each day they are posting-- normal people do not have eight hours a day to post. Also check... Source: over 1 year ago

Https://www.pewresearch.org/internet/2018/04/09/bots-in-the-twittersphere/ "An estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings' Complete Report PDF (2018): https://www.pewresearch.org/internet/wp-content/uploads/sites/9/2018/04/PI_2018.04.09_Twitter-Bots_FINAL.pdf "Botometer": https://botometer.osome.iu.edu/ "Botometer (formerly BotOrNot) checks the... - Source: Hacker News / almost 2 years ago

You can start here. Musk running Twitter bots - for a long time at that - is pretty much common knowledge. Like this is how he became so insanely rich and why Tesla is so insanely overvalued by historical market KPIs. Source: about 2 years ago

MediaSmarts has developed a custom fact-checker search engine, which you can use to Google something you saw. All the results will be from verified fact-checkers. There’s also a tool that will tell you the likelihood that an account is a bot. Source: about 2 years ago

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