2026-06-27T15:18:36Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

949bafa7ca30b67cf17ae1633adcaa93964185a272c4016caffe614e075b5b19 2026-06-02T13:50:42Z language:enopenaire_data

DDI study level documentation for study 10.7802/2847 An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023 An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023 An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023 10.7802/284710.7802/284710.7802/284710.7802/2847 Golland, Luisa Golland, Luisa Recker, Jonas Recker, Jonas Schwalbach, Jan Schwalbach, Jan GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften social mediacontract termsdata exchangetext analysissocial mediacontract termsdata exchangetext analysis When researchers publish results based on the analysis of Tweets, good practice requires sharing the Tweets (or Tweet IDs) to enable reproducibility of the results. What may or may not be shared depends on the Twitter/X terms for the redistribution of the platform’s content. As a complete archive of these terms is currently not easily accessible, we used The Internet Archive's Wayback Machine to gather all documents from Twitter/X that detail the terms and conditions for content redistribution, in effect between 2006 and November 2023. Based on the relevant conditions for the redistribution of Twitter/X content to third parties a "restriction_score" was assigned to each version of the terms/policies, to express how restrictive the regulations for the redistribution of content are. In addition, to facilitate analyses of the respective documents, a corpus has been created. The included archive of .html files allows researchers who collected Twitter/X content in the past, and who are now considering sharing this content, to determine the regulation in effect at the time of Tweet collection. Python scripts and a list of URLs are provided, which can be used to replicate the creation of the .html files published here. An R script is provided to create the corpus from the .html files.When researchers publish results based on the analysis of Tweets, good practice requires sharing the Tweets (or Tweet IDs) to enable reproducibility of the results. What may or may not be shared depends on the Twitter/X terms for the redistribution of the platform’s content. As a complete archive of these terms is currently not easily accessible, we used The Internet Archive's Wayback Machine to gather all documents from Twitter/X that detail the terms and conditions for content redistribution, in effect between 2006 and November 2023. Based on the relevant conditions for the redistribution of Twitter/X content to third parties a "restriction_score" was assigned to each version of the terms/policies, to express how restrictive the regulations for the redistribution of content are. In addition, to facilitate analyses of the respective documents, a corpus has been created. The included archive of .html files allows researchers who collected Twitter/X content in the past, and who are now considering sharing this content, to determine the regulation in effect at the time of Tweet collection. Python scripts and a list of URLs are provided, which can be used to replicate the creation of the .html files published here. An R script is provided to create the corpus from the .html files. Compilation/SynthesisCompilationSynthesisKompilation/SyntheseCompilationSynthesis Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2847 2025-02-27 ddi:codebook:2_5