Facebook, Google and Twitter have all made changes that make it more difficult for bad actors to spread misinformation ahead of the 2020 election. Experts say they should be doing more.
In less than a year, Americans will head to the polls in the 2020 presidential election. Last time around, the FBI says, Russian trolls, in coordination with the Russian government, engaged in a sophisticated attempt to influence the American electorate to vote for Donald Trump.
Mark Zuckerberg has claimed that Facebook was "caught on its heels" in 2016. In reality, this appears to have been a gross understatement. Just a few days after the November 2016 election, Zuckerberg famously said: “Personally I think the idea that fake news on Facebook, which is a very small amount of content, influenced the election in any way. I think is a pretty crazy idea."
While the term"fake news" -- initially used to describe intentionally false stories -- gained currency during the 2016 election cycle, it has fallen out of use among experts somewhat because it has come to be used by President Trump, some far-right and conservative media outlets as well as strong-arm leaders around the globe to refer to stories they don’t like from mainstream media organizations.
Facebook has automated systems that remove content every day and it has made political ads more transparent. To post a political ad -- which Facebook defines as dealing with social issues, elections or politics -- the advertiser needs to provide identifying documentation and declare who is paying for the spot.
Carlos Monje, Director of Public Policy at Twitter and Yoel Roth, Head of Site Integrity, both emphasized the importance of the data they make available to researchers such as Donovan and Decker. This has allowed researchers to identify networks and the methods they used, which in turn helps Twitter and others prevent these bad actors and others like them operating in future.
Google refused to put forward someone to speak about its efforts but instead offered a statement saying it was committed to address the challenge. Gleicher calls this trend"perception hacking," where smaller, less-effective networks plant the idea they are larger than they really are, so that the public loses trust in institutions.
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