10.7910/DVN/6CZHH5 Dimitar Nikolov Dimitar Nikolov https://orcid.org/0000-0002-0242-606X Indiana University Alessandro Flammini Alessandro Flammini Indiana University Filippo Menczer Filippo Menczer https://orcid.org/0000-0003-4384-2876 Indiana University Harvard Dataverse 2020 Computer and Information Science Social Sciences Misinformation Echo Chambers Bias Polarization Nikolov, Dimitar Dimitar Nikolov Indiana University 2021-01-11 2020-10-07 2021-08-12 2010.01462 62829009 76548800 661274 application/json application/json text/tab-separated-values 2.1 Creative Commons CC0 1.0 Universal Public Domain Dedication. <p>The dataset consists of two files:</p> <p>1. <em>anonymized_shares.json</em>: 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:</p> <p> <pre> { uid1: [ {"domains": ["domain1", "domain2"]}, {"domains": ["domain3"], "retweeted": retweeted_uid}, {"domains": ["domain4"], "quoted": quoted_uid}, ... ], uid2: [ ... ], ... } </pre> </p> <p> That is, for each sharing action we have: </p> <p> <ul> <li>the list of domains from which links were shared</li> <li>if the tweet was a retweet, the ID of the user who created the original tweet</li> <li>if the tweet was quoting another tweet, the ID of the user who is being quoted</li> </ul> </p> <p> All user IDs were anonymized and will not be traceable to Twitter user IDs. </p> <p> The tweets were collected from the <a href="https://osome.iu.edu/tools/">Social Media Observatory at Indiana University</a>. </p> <p> 2. <em>anonymized_friends.json</em>: For each user in the dataset, the list of their friends (followees) as given by the <a href="https://developer.twitter.com/en/docs/twitter-api/v1/accounts-and-users/follow-search-get-users/api-reference/get-friends-ids">friends/ids Twitter API endpoint</a>. </p> <p> The format is as follows: </p> <p> <pre> { uid1: [friend_uid1, friend_uid2, ...], uid2: [...], ... } </pre> </p> <p>3. <em>measures.tab</em>: TAB-separated file with partisanship and misinformation scores for each anonymized user. <p> All user IDs were anonymized and will not be traceable to Twitter user IDs. </p>