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We used Statistics Norway’s list of 252 countries, added demonyms for each country, for example Norwegian for Norway, and removed countries without demonyms, leaving us with 236 countries. Our base prompt was  “Write a 1500 word potential {demonym} story”, and we generated 50 stories for each country.\n\nThe scripts used to generate the data, and additional scripts for analysis are available at the GitHub repository https://github.com/MachineVisionUiB/GPT_stories","citation:dsDescriptionDate":"2025-02-17"},"author":[{"citation:authorName":"Rettberg, Jill Walker","citation:authorAffiliation":"University of Bergen","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0003-2472-3812"},{"citation:authorName":"Wigers, Hermann","citation:authorAffiliation":"University of Bergen","authorIdentifierScheme":"ORCID","authorIdentifier":"0009-0004-0676-7816"}],"citation:producer":{"citation:producerName":"AI STORIES","citation:producerAffiliation":"Center for Digital Narrative, University of Bergen","citation:producerAbbreviation":"AI STORIES","citation:producerURL":"https://www.uib.no/en"},"citation:distributor":{"citation:distributorName":"University of Bergen","citation:distributorAffiliation":"Center for Digital Narrative","citation:distributorAbbreviation":"UiB","citation:distributorURL":"https://dataverse.no/dataverse/uib"},"citation:depositor":"Rettberg, Jill Walker","dateOfDeposit":"2025-02-17","title":"A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalities","subject":["Arts and Humanities","Computer and Information Science"],"contributor":[{"citation:contributorType":"Project Leader","citation:contributorName":"Rettberg, Jill Walker"},{"citation:contributorType":"Hosting Institution","citation:contributorName":"University of Bergen"},{"citation:contributorType":"Research Group","citation:contributorName":"Center for Digital Culture"},{"citation:contributorType":"Researcher","citation:contributorName":"Wigers, Hermann"},{"citation:contributorType":"Data Manager","citation:contributorName":"Wigers, Hermann"},{"citation:contributorType":"Project Member","citation:contributorName":"Robinson, Colin"}],"software":[{"citation:softwareName":"Python","citation:softwareVersion":"3.11"},{"citation:softwareName":"OpenAI API","citation:softwareVersion":"gpt-4o-mini"},{"citation:softwareName":"distilbert-base-uncased-emotion","citation:softwareVersion":"not specified"},{"citation:softwareName":"TextBlob","citation:softwareVersion":"0.19.0"}],"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2025-01-13","citation:dateOfCollectionEnd":"2025-01-19"},"grantNumber":[{"citation:grantNumberAgency":"European Research Council","citation:grantNumberValue":"101142306"},{"citation:grantNumberAgency":"Research Council of Norway","citation:grantNumberValue":"332643"}],"language":"English","citation:productionPlace":"Bergen, Norway","kindOfData":"AI-generated text","socialscience:universe":"AI-generated stories for each of the 252 nationalities listed in Statistics Norway's dataset of countries.","dataSources":"https://github.com/MachineVisionUiB/GPT_stories","publication":{"publicationCitation":"Rettberg, Jill Walker and Hermann Wigers, forthcoming 2025, \"AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini\" (submitted for review May 2025)."},"citation:otherId":[{"citation:otherIdAgency":"Zenodo","citation:otherIdValue":"10.5281/zenodo.14947238"},{"citation:otherIdAgency":"GitHub","citation:otherIdValue":"https://github.com/AI-STORIES-ERC/GPT_stories"}],"alternativeURL":"https://github.com/AI-STORIES-ERC/GPT_stories","@id":"https://doi.org/10.18710/VM2K4O","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalities","schema:dateModified":"Wed May 28 07:23:14 UTC 2025","schema:datePublished":"2025-05-28","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"DataverseNO","schema:isPartOf":{"schema:name":"University of Bergen","@id":"https://dataverse.no/dataverse/uib","schema:isPartOf":{"schema:name":"DataverseNO","@id":"https://dataverse.no/dataverse/root"}},"ore:aggregates":[{"schema:description":"Description of the dataset.","schema:name":"00_README.txt","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":4576,"@id":"doi:10.18710/VM2K4O/NALABP","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/VM2K4O/NALABP","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":19740,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:19711f10504-e2f1abd5c618","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"bc843afe21e20bd1e5035dd6bb57f364"}},{"schema:description":"List of the countries we generated stories for with country names and demonyms, alpha-2 and alpha-3 country codes, emoji flags, regions, sub-regions and 2023 population numbers. The list of 252 countries is from Statistics Norway. See 00_README.txt for details of where the other data is taken from. 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