Tweets with the words oxygen and frequency were being tagged with a fact-check label
Illustration by Alex Castro / The Verge
Twitter says its working on improving how it labels tweets with problematic 5G or coronavirus content, after users reported their tweets were being mislabeled with a COVID-19 fact-check.
In the last few weeks, you may have seen Tweets with labels linking to additional info about COVID-19, Twitter Support tweeted. Not all of those Tweets had potentially misleading content associating COVID-19 and 5G.
In the last few weeks, you may have seen Tweets with labels linking to additional info about COVID-19. Not all of those Tweets had potentially misleading content associating COVID-19 and 5G. We apologize for any confusion and we’re working to improve our labeling process. (1/4)
Twitter Support (@TwitterSupport) June 26, 2020
Twitter began fact-checking tweets that linked 5G and the COVID-19 pandemic earlier this month, by adding the label that reads get the facts about COVID-19 which links to a Twitter moment with No, 5G isnt causing coronavirus as its title. Part of a conspiracy theory that has been widely debunked suggested that the spread of the coronavirus was somehow linked to the installation of new 5G mobile networks.
The fact-check label is part of the social media companys wider effort to attach warning labels to provide context for tweets with misleading COVID-19 information. In April, the company went so far as to remove misleading COVID-19-related tweets that it viewed as inciting people to engage in harmful activity.
But the system that determines which tweets get flagged is apparently a little over-eager. It seems tweets including the words oxygen and frequency were being tagged with the fact-check label. The Week posits that oxygen and frequency may be keywords that trigger the label, since part of the conspiracy theory suggests that the 5G frequency is harmful to the point that it sucks the oxygen out of the atmosphere.
This tweet doesnt even mention 5G or the coronavirus
Yashar Ali/Twitter
Twitter Support says its building new automated capabilities to apply these labels to Tweets we think could be relevant, adding that its goal was to reduce the number of mislabeled tweets. It wasnt clear when the fixes would be applied.
Twitter didnt immediately reply to a request for additional information Saturday.