{"data":{"id":"10.6084/m9.figshare.4765150","type":"dois","attributes":{"doi":"10.6084/m9.figshare.4765150","prefix":"10.6084","suffix":"m9.figshare.4765150","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Jichang Zhao","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Extroverts tweet differently from introverts in Weibo"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"Applied Computer Science"},{"subject":"80602 Computer-Human Interaction","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80703 Human Information Behaviour","subjectScheme":"FOR"},{"subject":"FOS: Media and communications","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Media and communications","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"170109 Personality, Abilities and Assessment","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2017-03-19","dateType":"Created"},{"date":"2017-03-20","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["419351357 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Specification of the Dataset\u003cbr\u003e1. The data set comes from our paper titled “Extroverts tweet differently from introverts in Weibo”. \u003cbr\u003e2. psychological-score.txt contains genders, ages, and scores of Big-Five personality traits of the 293 valid participants (anonymized and permit the publication) from self-reports.\u003cbr\u003e3. user-data contains the Weibo data of the 293 participants (1.txt ~ 293.txt) and the 7249 users (294.txt ~ 7542.txt) identified by our SVM classifiers. For each user, a json format of its completely anonymized online profiles (a tweet in each line) is given.\u003cbr\u003e4. Any issues please contact jichang@buaa.edu.cn.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/Extroverts_tweet_differently_from_introverts_in_Weibo/4765150","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2017-03-19T02:47:17.000Z","registered":"2017-03-19T02:47:18.000Z","published":"2017","updated":"2020-09-02T14:07:47.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.4765150","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}