Replication Data for: Right and left, partisanship predicts vulnerability to misinformation

The dataset consists of two files: 1. anonymized_shares.json: A collection of sharing actions, each corresponding to a tweet posted in June 2017 in which one or more URLs were shared. The format is as follows: { uid1: [ {\"domains\": [\"domain1\", \"domain2\"]}, {\"domains\": [\"domain3\"], \"retweeted\": retweeted_uid}, {\"domains\": [\"domain4\"], \"quoted\": quoted_uid}, ... ], uid2: [ ... ], ... } That is, for each sharing action we have: the list of domains from which links were shared if the tweet was a retweet, the ID of the user who created the original tweet if the tweet was quoting another tweet, the ID of the user who is being quoted All user IDs were anonymized and will not be traceable to Twitter user IDs. The tweets were collected from the Social Media Observatory at Indiana University. 2. anonymized_friends.json: For each user in the dataset, the list of their friends (followees) as given by the friends/ids Twitter API endpoint. The format is as follows: { uid1: [friend_uid1, friend_uid2, ...], uid2: [...], ... } 3. measures.tab: TAB-separated file with partisanship and misinformation scores for each anonymized user. All user IDs were anonymized and will not be traceable to Twitter user IDs.