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dc.contributor.authorNorval, Christopher
dc.contributor.authorHenderson, Tristan
dc.date.accessioned2017-01-27T16:30:15Z
dc.date.available2017-01-27T16:30:15Z
dc.date.issued2017-01-26
dc.identifier.citationNorval , C & Henderson , T 2017 , Contextual consent: ethical mining of social media for health research . in Proceedings of the WSDM 2017 Workshop on Mining Online Health Reports . WSDM Workshop on Mining Online Health Reports , Cambridge , United Kingdom , 10/02/17 .en
dc.identifier.citationworkshopen
dc.identifier.otherPURE: 248155918
dc.identifier.otherPURE UUID: b0d0ffd4-1ddc-46ec-bc3d-19e764623f27
dc.identifier.otherBibtex: urn:045bdfa3074ca008ab112970efdef47b
dc.identifier.urihttp://hdl.handle.net/10023/10187
dc.description.abstractSocial media are a rich source of insight for data mining and user centred research, but the question of consent arises when studying such data without the express knowledge of the creator. Case studies that mine social data from users of online services such as Facebook and Twitter are becoming increasingly common. This has led to calls for an open discussion into how researchers can best use these vast resources to make innovative findings while still respecting fundamental ethical principles. In this position paper we highlight some key considerations for this topic and argue that the conditions of informed consent are often not being met, and that using social media data that some deem free to access and analyse may result in undesirable consequences, particularly within the domain of health research and other sensitive topics. We posit that successful exploitation of online personal data, particularly for health and other sensitive research, requires new and usable methods of obtaining consent from the user.
dc.format.extent4
dc.language.isoeng
dc.relation.ispartofProceedings of the WSDM 2017 Workshop on Mining Online Health Reportsen
dc.rights© 2017, Publisher / the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at http://arxiv.org/abs/1701.07765en
dc.subjectEthicsen
dc.subjectPrivacyen
dc.subjectHealthen
dc.subjectConsenten
dc.subjectSocial mediaen
dc.subjectBJ Ethicsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA Public aspects of medicineen
dc.subjectT-NDASen
dc.subject.lccBJen
dc.subject.lccQA75en
dc.subject.lccRAen
dc.titleContextual consent: ethical mining of social media for health researchen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.urlhttps://sites.google.com/site/mohrs2017/en
dc.identifier.urlhttp://arxiv.org/abs/1701.07765en


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