Misinformation tool measures exposure to false claims by politicalelites uniofexeter NatureComms
). Another limitation of our approach is that users must follow a sufficient number of elite accounts in order to receive a misinformation-exposure score. Future work should investigate what user characteristics are predictive of following these elite accounts, and thus what forms of selection are induced by restricting to users who follow these elite accounts. Furthermore, our approach relies on users’ immediate follower network and does not capture exposure beyond one’s followed account .
The approach we have introduced here opens new doors to understanding the role of exposure to misinformation from elites, and choices about who to follow online, in the spread of false and misleading claims over social media.We retrieved ratings for all 1005 elites that, as of October 28, 2020, were fact-checked at least three times by the fact-checking website PolitiFact .
To use these falsity scores to rate Twitter users’ exposure to misinformation from elites, we identified 950 Twitter accounts that are associated with 816 of the 1005 elites . We then collected all of the followers of these 950 accounts . For assessment purposes, we created a list of users who followed at least three elites and then randomly sampled
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