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Linking Survey and Twitter Data: Informed Consent, Disclosure, Security, and Archiving
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 participan...
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| 出版年: | J Empir Res Hum Res Ethics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7049949/ https://ncbi.nlm.nih.gov/pubmed/31220995 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1556264619853447 |
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