<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/6CZHH5</identifier><creators><creator><creatorName nameType="Personal">Dimitar Nikolov</creatorName><givenName>Dimitar</givenName><familyName>Nikolov</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-0242-606X</nameIdentifier><affiliation>Indiana University</affiliation></creator><creator><creatorName nameType="Personal">Alessandro Flammini</creatorName><givenName>Alessandro</givenName><familyName>Flammini</familyName><affiliation>Indiana University</affiliation></creator><creator><creatorName nameType="Personal">Filippo Menczer</creatorName><givenName>Filippo</givenName><familyName>Menczer</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-4384-2876</nameIdentifier><affiliation>Indiana University</affiliation></creator></creators><titles><title>Replication Data for: Right and left, partisanship predicts vulnerability to misinformation</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2021</publicationYear><subjects><subject>Computer and Information Science</subject><subject>Social Sciences</subject><subject>Misinformation</subject><subject>Echo Chambers</subject><subject>Bias</subject><subject>Polarization</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Nikolov, Dimitar</contributorName><givenName>Dimitar</givenName><familyName>Nikolov</familyName><affiliation>Indiana University</affiliation></contributor></contributors><dates><date dateType="Submitted">2021-01-11</date><date dateType="Updated">2021-08-12</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="arXiv">2010.01462</relatedIdentifier></relatedIdentifiers><sizes><size>76548800</size><size>62829009</size><size>661274</size></sizes><formats><format>application/json</format><format>application/json</format><format>text/tab-separated-values</format></formats><version>2.1</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">&lt;p>The dataset consists of two files:&lt;/p>

&lt;p>1. &lt;em>anonymized_shares.json&lt;/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:&lt;/p>

&lt;p>
&lt;pre>
{
    uid1: [
        {"domains": ["domain1", "domain2"]},
        {"domains": ["domain3"], "retweeted": retweeted_uid},
        {"domains": ["domain4"], "quoted": quoted_uid},
        ...
    ],
    uid2: [
        ...
    ],
    ...
}
&lt;/pre>
&lt;/p>
&lt;p>
That is, for each sharing action we have:
&lt;/p>
&lt;p>
&lt;ul>
    &lt;li>the list of domains from which links were shared&lt;/li>
    &lt;li>if the tweet was a retweet, the ID of the user who created the original tweet&lt;/li>
    &lt;li>if the tweet was quoting another tweet, the ID of the user who is being quoted&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
All user IDs were anonymized and will not be traceable to Twitter user IDs.
&lt;/p>
&lt;p>
The tweets were collected from the &lt;a href="https://osome.iu.edu/tools/">Social Media Observatory at Indiana University&lt;/a>.
&lt;/p>
&lt;p>
2. &lt;em>anonymized_friends.json&lt;/em>: For each user in the dataset, the list of their friends (followees) as given by the &lt;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&lt;/a>.
&lt;/p>
&lt;p>
The format is as follows:
&lt;/p>
&lt;p>
&lt;pre>
{
    uid1: [friend_uid1, friend_uid2, ...],
    uid2: [...],
    ...
}
&lt;/pre>
&lt;/p>
&lt;p>3. &lt;em>measures.tab&lt;/em>: TAB-separated file with partisanship and misinformation scores for each anonymized user.
&lt;p>
All user IDs were anonymized and will not be traceable to Twitter user IDs.
&lt;/p></description></descriptions><geoLocations/></resource>