Linking Survey and Twitter Data: Informed Consent, Disclosure, Security, and Archiving
| Autor: | Luke Sloan, Tarek Al Baghal, Matthew Leighton Williams, Curtis Jessop |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Social Psychology
Internet privacy Ethical practice Disclosure Reuse Ethics Research Education surveys 0504 sociology Informed consent Surveys and Questionnaires 050602 political science & public administration Humans Sociology Composition (language) Computer Security Data Curation Informed Consent business.industry Everyday Experience and Ethics of Social Media Research Practice Data Collection Communication 05 social sciences 050401 social sciences methods linked data Linked data disclosive ethics reuse 0506 political science archiving Harm Work (electrical) Privacy Research Design Survey data collection consent business Social Media |
| Zdroj: | Journal of Empirical Research on Human Research Ethics |
| ISSN: | 1556-2654 1556-2646 |
| Popis: | 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 article, 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, minimizing risk, archiving, and reuse are applied to linked Twitter and survey data. In conclusion, we reflect on how our ability to collect and work with Twitter data has outpaced our technical understandings of how the data are constituted and observe that understanding one’s data is an essential prerequisite for ensuring best ethical practice. |
| Databáze: | OpenAIRE |
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