{"data":{"id":"10.7802/1504","type":"dois","attributes":{"doi":"10.7802/1504","prefix":"10.7802","suffix":"1504","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Zenk-Möltgen, Wolfgang","nameType":"Personal","givenName":"Wolfgang","familyName":"Zenk-Möltgen","affiliation":["GESIS - Leibniz Institute for the Social Sciences"],"nameIdentifiers":[]}],"titles":[{"lang":"de","title":"Python Script to rehydrate Tweets from Tweet IDs"},{"lang":"en","title":"Python Script to rehydrate Tweets from Tweet IDs"}],"publisher":"GESIS Data Archive","container":{},"publicationYear":2017,"subjects":[{"lang":"en","subject":"KAT62 Communication, Public Opinion, Media","subjectScheme":"ZA"}],"contributors":[],"dates":[{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["6028","6028"],"formats":["application/octet-stream","application/octet-stream"],"version":"1","rightsList":[{"lang":"de","rights":"CC BY-NC 4.0"},{"lang":"en","rights":"CC BY-NC 4.0"}],"descriptions":[{"lang":"de","description":"This Python script can be used to rehydrate Tweets from Tweet IDs. It uses the Twython library to access the Twitter API. \nThe script was built to support rehydration for the project \"Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness\" by Jürgen Pfeffer and Fred Morstatter. Argument is a zip file with text files in it with tweed ids (one per line).\nOutput is a text file with number of found tweets per county.","descriptionType":"Abstract"},{"lang":"en","description":"This Python script can be used to rehydrate Tweets from Tweet IDs. It uses the Twython library to access the Twitter API. \nThe script was built to support rehydration for the project \"Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness\" by Jürgen Pfeffer and Fred Morstatter. Argument is a zip file with text files in it with tweed ids (one per line).\nOutput is a text file with number of found tweets per county.","descriptionType":"Abstract"},{"lang":"de","description":"Kompilation","descriptionType":"Methods"},{"lang":"en","description":"Compilation","descriptionType":"Methods"},{"lang":"de","description":"Kompilation","descriptionType":"Methods"},{"lang":"en","description":"Compilation","descriptionType":"Methods"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://search.gesis.org/research_data/SDN-10.7802-1504?doi=10.7802/1504","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":"2017-07-31T14:53:07.000Z","registered":"2017-07-31T14:53:08.000Z","published":"2017","updated":"2026-01-13T10:28:38.000Z"},"relationships":{"client":{"data":{"id":"vzek.archive","type":"clients"}},"provider":{"data":{"id":"vzek","type":"providers"}},"media":{"data":{"id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