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Jess Frampton

Are bots trying to undermine Donald Trump?

In an exclusive investigation into online disinformation surrounding the reaction to Donald Trump’s hush-money trial, GZERO asks whether bots are being employed to shape debates about the former president’s guilt or innocence. We investigated, with the help of Cyabra, a firm that specializes in tracking bots, to look for disinformation surrounding the online reactions to Trump’s trial. Is Trump’s trial the target of a massive online propaganda campaign – and, if so, which side is to blame?


Adult film actress Stormy Daniels testified on Tuesday against former President Donald Trump, detailing her sexual encounter with Trump in 2006 and her $130,000 hush money payment from Trump's ex-attorney Michael Cohen before the 2016 election. In the process, she shared explicit details and said she had not wanted to have sex with Trump. This led the defense team to call for a mistrial. Their claim? That the embarrassing aspects were “extraordinarily prejudicial.”

Judge Juan Merchan denied the motion – but also agreed that some of the details from Daniels were “better left unsaid.”

The trouble is, plenty is being said, inside the courtroom and in the court of public opinion – aka social media. With so many people learning about the most important trials of the century online, GZERO partnered with Cyabra to investigate how bots are influencing the dialogue surrounding the Trump trials. For a man once accused of winning the White House off the steam of Russian meddling, the results may surprise you.

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A man uses a chatbot in this illustration photo.

Jaap Arriens/NurPhoto via Reuters

Get AI out of my health care

You fall and break an arm. Doctors set the break and send you to rehab. It’s pricy, but insurance should take care of it, so you submit your claim – only to be denied. Was it a claims examiner who rejected it? Or AI?

On Feb. 6, the US government sent a memo to certain Medicare insurers clarifying that no, they cannot use artificial intelligence to deny claims. While machine-learning algorithms can be used to assist them in making determinations, an algorithm alone cannot be the basis for denying care.

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