Twitter Labeled 300,000 U.S. Election Tweets [Infographic]

A week after one of the most tumultuous and divided elections in U.S. history, Twitter
TWTR
released a breakdown of its efforts to police and label misleading tweets about the contest. Under its Civic Integrity Policy, the social network attached a label to 300,000 misleading tweets between October 27 and November 03, amounting to 0.2% of total tweets sent about the U.S. election. A mere 456 of those tweets were given a stronger warning that covered the text and limited user engagement. Separately, the New York Times
NYT
reported that President Trump accounted for a considerable amount of stronger warnings with 34% of his tweets labeled as such between November 03 and November 06.

Twitter reported that 74% of people who viewed labeled tweets saw them after a warning message had already been applied. The social network also saw a 29% decrease in quote tweets of labeled tweets as a result of a warning being in place prior to sharing. It also stated that it moved to get ahead of potentially misleading information by showing all of its U.S. users a series of pre-bunk prompts in their timelines and search results which reminded them that the election results were likely to be delayed as well as the fact that voting by mail is safe and legitimate. Twitter, along with other social networks such as Facebook, were heavily criticized for enabling the spread of disinformation during the 2016 election.

*Click below to enlarge (charted by Statista)