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Linking Survey and Twitter Data: Informed Consent, Disclosure, Security and Archiving

Sloan, Luke and Jessop, Curtis and Al Baghal, Tarek and Williams, Matthew (2019) 'Linking Survey and Twitter Data: Informed Consent, Disclosure, Security and Archiving.' Journal of Empirical Research on Human Research Ethics. ISSN 1556-2646

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Linked survey and Twitter data present an unprecedented opportunity for social scientific analysis, but the ethical implications for such work are complex – requiring a deeper understanding of the nature and composition of Twitter data to fully appreciate the risks of disclosure and harm to participants. In this paper we draw on our experience of three recent linked data studies, briefly discussing the background research on data linkage and the complications around ensuring informed consent. Particular attention is paid to the vast array of data available from Twitter and in what manner it might be disclosive. In light of this, the issues of maintaining security, minimising risk, archiving and re-use are applied to linked Twitter and survey data. In the conclusion we reflect on how our ability to collect and work with Twitter data has outpaced our technical understandings of how the data is constituted and observe that understanding one’s data is an essential prerequisite for ensuring best ethical practice.

Item Type: Article
Uncontrolled Keywords: Surveys, Twitter, Linked Data, Ethics, Consent, Disclosive, Archiving, Re-use
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculty of Social Sciences > Institute for Social and Economic Research
Depositing User: Elements
Date Deposited: 11 Jun 2019 15:40
Last Modified: 21 Jun 2019 09:15

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