tweets. Twitter reported the impact of labeling tweets that 
contain false information during the 2020 Presidential elec-
tion (Gadde and Beykpour 2020). During a 16-day period 
around the 2020 election, Twitter labeled 300,000 tweets 
as containing disputed or misleading information. A subset 
of these tweets (n = 456) were flagged and locked so only 
limited user engagement was allowed. For these 456 tweets, 
Twitter would only allow them to be “quote tweeted,” where 
tweets are retweeted but must include an original comment 
from the user retweeting. Twitter reports tweets with a mis-
leading information flag experienced a 29% decrease in user 
quote tweets. Further, our research suggests that multiple 
flags work better than one; flagging tweets for both sus-
pected bot authorship and misinformation decreased positive 
attitudes more strongly than a bot flag alone, indicating that 
social media platforms may want to provide multiple flags
Use of bot and content flags to limit the spread of misinformation among social networks: a behavior and attitude survey