{"id":4104382,"identifier":"DVN/6CZHH5","persistentUrl":"https://doi.org/10.7910/DVN/6CZHH5","protocol":"doi","authority":"10.7910","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2020-10-07","storageIdentifier":"file://10.7910/DVN/6CZHH5","datasetType":"dataset","datasetVersion":{"id":263103,"datasetId":4104382,"datasetPersistentId":"doi:10.7910/DVN/6CZHH5","storageIdentifier":"file://10.7910/DVN/6CZHH5","versionNumber":2,"versionMinorNumber":1,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","UNF":"UNF:6:Avb9rregQyEFA8q65GDGWA==","lastUpdateTime":"2021-08-12T11:11:53Z","releaseTime":"2021-08-12T11:11:53Z","createTime":"2021-08-12T11:11:23Z","publicationDate":"2020-10-07","citationDate":"2020-10-07","license":{"name":"CC0 1.0","uri":"http://creativecommons.org/publicdomain/zero/1.0","iconUri":"https://licensebuttons.net/p/zero/1.0/88x31.png","rightsIdentifier":"CC0-1.0","rightsIdentifierScheme":"SPDX","schemeUri":"https://spdx.org/licenses/","languageCode":"en"},"fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Replication Data for: Right and left, partisanship predicts vulnerability to misinformation"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Dimitar Nikolov"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Indiana University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0002-0242-606X"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Alessandro Flammini"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Indiana University"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Filippo Menczer"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Indiana University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0003-4384-2876"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Nikolov, Dimitar"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Indiana University"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"dimitar.g.nikolov@gmail.com"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"<p>The dataset consists of two files:</p>\n\n<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>\n\n<p>\n<pre>\n{\n    uid1: [\n        {\"domains\": [\"domain1\", \"domain2\"]},\n        {\"domains\": [\"domain3\"], \"retweeted\": retweeted_uid},\n        {\"domains\": [\"domain4\"], \"quoted\": quoted_uid},\n        ...\n    ],\n    uid2: [\n        ...\n    ],\n    ...\n}\n</pre>\n</p>\n<p>\nThat is, for each sharing action we have:\n</p>\n<p>\n<ul>\n    <li>the list of domains from which links were shared</li>\n    <li>if the tweet was a retweet, the ID of the user who created the original tweet</li>\n    <li>if the tweet was quoting another tweet, the ID of the user who is being quoted</li>\n</ul>\n</p>\n<p>\nAll user IDs were anonymized and will not be traceable to Twitter user IDs.\n</p>\n<p>\nThe tweets were collected from the <a href=\"https://osome.iu.edu/tools/\">Social Media Observatory at Indiana University</a>.\n</p>\n<p>\n2. <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>.\n</p>\n<p>\nThe format is as follows:\n</p>\n<p>\n<pre>\n{\n    uid1: [friend_uid1, friend_uid2, ...],\n    uid2: [...],\n    ...\n}\n</pre>\n</p>\n<p>3. <em>measures.tab</em>: TAB-separated file with partisanship and misinformation scores for each anonymized user.\n<p>\nAll user IDs were anonymized and will not be traceable to Twitter user IDs.\n</p>"},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2021-01-11"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Computer and Information Science","Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Misinformation"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Echo Chambers"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Bias"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Polarization"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Dimitar Nikolov, Alessandro Flammini, Filippo Menczer; Right and left, partisanship predicts vulnerability to misinformation; 2021"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"arXiv"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"2010.01462"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://arxiv.org/abs/2010.01462"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Nikolov, Dimitar"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2021-01-11"},{"typeName":"dataSources","multiple":true,"typeClass":"primitive","value":["Observatory on Social Media, https://osome.iu.edu/tools/","Twitter, https://developer.twitter.com/"]}]}},"files":[{"description":"Twitter friends","label":"anonymized-friends.json","restricted":false,"version":1,"datasetVersionId":263103,"dataFile":{"id":4104386,"persistentId":"","filename":"anonymized-friends.json","contentType":"application/json","friendlyType":"JSON","filesize":76548800,"description":"Twitter friends","storageIdentifier":"s3://dvn-cloud:174fba14eec-c6639c5193b2","rootDataFileId":-1,"md5":"d5043fbf8023dba0f61100f9d1febc4e","checksum":{"type":"MD5","value":"d5043fbf8023dba0f61100f9d1febc4e"},"tabularData":false,"creationDate":"2020-10-05","publicationDate":"2020-10-07","fileAccessRequest":false}},{"description":"Sharing actions","label":"anonymized-shares.json","restricted":false,"version":1,"datasetVersionId":263103,"dataFile":{"id":4104385,"persistentId":"","filename":"anonymized-shares.json","contentType":"application/json","friendlyType":"JSON","filesize":62829009,"description":"Sharing actions","storageIdentifier":"s3://dvn-cloud:174fba02874-ee14833f6963","rootDataFileId":-1,"md5":"b18227e9f3baa1d83d74fdfa61a1d08d","checksum":{"type":"MD5","value":"b18227e9f3baa1d83d74fdfa61a1d08d"},"tabularData":false,"creationDate":"2020-10-05","publicationDate":"2020-10-07","fileAccessRequest":false}},{"description":"Misinformation and partisanship scores for each anonymized user ID.","label":"measures.tab","restricted":false,"version":1,"datasetVersionId":263103,"dataFile":{"id":4972578,"persistentId":"","filename":"measures.tab","contentType":"text/tab-separated-values","friendlyType":"Tab-Delimited","filesize":661274,"description":"Misinformation and partisanship scores for each anonymized user ID.","storageIdentifier":"s3://dvn-cloud:17b3ae740ea-6736291033a5","originalFileFormat":"text/tsv","originalFormatLabel":"Tab-Separated Values","originalFileSize":676362,"originalFileName":"measures.tab","UNF":"UNF:6:Avb9rregQyEFA8q65GDGWA==","rootDataFileId":-1,"md5":"a73e51a5334ad90926a4ffb5cd1445a6","checksum":{"type":"MD5","value":"a73e51a5334ad90926a4ffb5cd1445a6"},"tabularData":true,"creationDate":"2021-08-12","publicationDate":"2021-08-12","fileAccessRequest":false}}],"citation":"Dimitar Nikolov; Alessandro Flammini; Filippo Menczer, 2020, \"Replication Data for: Right and left, partisanship predicts vulnerability to misinformation\", https://doi.org/10.7910/DVN/6CZHH5, Harvard Dataverse, V2, UNF:6:Avb9rregQyEFA8q65GDGWA== [fileUNF]"}}