The Stream

Will social media manipulate the 2020 US election?

Ahead of US vote, Cambridge Analytica whistleblower Brittany Kaiser calls for data privacy protections and regulation of Big Tech.

On Wednesday, January 15 at 19:30 GMT:
In 2018, it was revealed that the defunct political consulting firm Cambridge Analytica had stolen the data of millions of Facebook users. That data was used to create psychological profiles, target US swing voters, and then attempt to manipulate them for then-presidential candidate Donald Trump during the 2016 election. The data breach scandal resulted in the closure of Cambridge Analytica and Facebook paying a $5 billion penalty to the US Federal Trade Commission.

What’s changed since the Cambridge Analytica scandal, and how susceptible are voters to online manipulation? Since the start of January, Cambridge Analytica whistleblower Brittany Kaiser has been publishing documents obtained during her time as the data firm’s business development director. The documents show online manipulation efforts in countries’ elections including Brazil, Kenya and Malaysia.

To what degree will social media shape this year’s US vote? Despite Twitter’s move to ban political advertising and Google’s decision to limit narrowly targeted political ads for its users, Facebook last week announced that it would not change any of its policies on political advertising, and will continue to allow political advertisements that contain falsehoods.

In this episode, we’ll speak to Kaiser and others about the potential threat of online voter manipulation and what should be done to protect the electoral process.

 

On this episode of The Stream, we speak with:

 

Brittany Kaiser, @OwnYourDataNow
Subject of “The Great Hack”
ownyourdata.foundation

 

Jessica Baldwin-Philippi, @jesse_b_p
Associate professor at Fordham University
jessebp.com

 

Laura Kayali, @LauKaya
Tech reporter at POLITICO Europe
politico.eu

 

Read more:

Fresh Cambridge Analytica leak ‘shows global manipulation is out of control’ – Guardian

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