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'When it comes to election misinformation and disinformation, platforms are kind of just playing Whac-A-Mole - trying to get on top of something before something else arises,' said Spandi Singh, a policy analyst at the Open Technology Institute at the think tank New America.Įditor's note: Facebook parent Meta pays NPR to license NPR content.Quickly find any file, action, symbol, tool window, or setting in IntelliJ IDEA, in your project, and in the current Git repository.įind a command and execute it, open a tool window, or search for a setting. The big challenge is for companies to move beyond being reactive and find ways to prevent their platforms from being used to spread these kinds of falsehoods so widely in the first place. 'The companies should be doing a lot more to have an always-on policy, because clearly these topics around the integrity of elections are certainly staying in the lexicon and the conversation well beyond Election Day,' Harbath said. Tech companies approach elections as discrete events, typically putting policies in place and then turning them off when the voting is over - even though false claims don't end when the ballots are counted. Researchers warn that the 2020 approach to election falsehoods doesn't address the reality of 2022. Untangling Disinformation How the 'Stop the Steal' movement outwitted Facebook ahead of the Jan. 'It would be really helpful for them to contextualize it within actual details of what their internal research has found.' 'What was the feedback? From which users? What do the words 'targeted' and 'strategic' mean?' he said. 'In the event that we do need to deploy them this time round our intention is to do so in a targeted and strategic way,' Nick Clegg, president of global affairs at Facebook parent Meta, wrote in a blog post.īut for NYU's Sanderson, that raised more questions the company has not answered. Twitter has said after it redesigned its misleading information labels last year, more people clicked through to read accurate information.įacebook, meanwhile, says it will be more choosy about what it labels, after users said labels were 'over-used' in 2020. The platforms have given small peeks into what they know about how well their tools work.

They found the labeled messages spread even further on Twitter, and also took off on other platforms including Facebook, Instagram and Reddit. Last year, researchers at NYU analyzed what happened after Twitter labeled some of Trump's tweets before and after the 2020 election as containing misinformation.

Investigations Election deniers have taken their fraud theories on tour - to nearly every state