Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorHutton, Luke
dc.contributor.authorHenderson, Tristan
dc.date.accessioned2015-05-25T23:11:11Z
dc.date.available2015-05-25T23:11:11Z
dc.date.issued2015-05-26
dc.identifier.citationHutton , L & Henderson , T 2015 , Making social media research reproducible . in Proceedings of the ICWSM Workshop on Standards and Practices in Large-Scale Social Media Research . Association for the Advancement of Artificial Intelligence , pp. 2-7 , Workshop on Standards and Practices in Large-Scale Social Media Research , Oxford , United Kingdom , 26/05/15 .en
dc.identifier.citationworkshopen
dc.identifier.otherPURE: 177772104
dc.identifier.otherPURE UUID: 2101fb7e-a008-4932-9a1d-6ac66a9b2ee9
dc.identifier.otherBibtex: urn:776c6743d4b7d8e07f8f956c29a2ea22
dc.identifier.otherScopus: 84964664172
dc.identifier.urihttp://hdl.handle.net/10023/6692
dc.description.abstractThe huge numbers of people using social media makes online social networks an attractive source of data for researchers. But in order for the resultant huge numbers of research publications that involve social media to be credible and trusted, their methodologies, considerations of data handling and sensitivity, analysis, and so forth must be appropriately documented. We believe that one way to improve standards and practices in social media research is to encourage such research to be made reproducible, that is, to have sufficient documentation and sharing of research to allow others to either replicate or build on research results. Enabling this fundamental part of the scientific method will benefit the entire social media ecosystem, from the researchers who use data, to the people that benefit from the outcomes of research.
dc.language.isoeng
dc.publisherAssociation for the Advancement of Artificial Intelligence
dc.relation.ispartofProceedings of the ICWSM Workshop on Standards and Practices in Large-Scale Social Media Researchen
dc.rightsCopyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. The article is posted here by permission of AAAI for your personal use. Not for redistribution.en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject3rd-DASen
dc.subject.lccQA75en
dc.titleMaking social media research reproducibleen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.urlhttp://networkdynamics.org/events/icwsm2015_smsp/en
dc.identifier.urlhttp://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10629en


This item appears in the following Collection(s)

Show simple item record