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Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies

机译:链接推特和调查数据:调查模式和人口统计学对三项英国研究同意的影响

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摘要

In light of issues such as increasing unit nonresponse in surveys, several studies argue that social media sources such as Twitter can be used as a viable alternative. However, there are also a number of shortcomings with Twitter data such as questions about its representativeness of the wider population and the inability to validate whose data you are collecting. A useful way forward could be to combine survey and Twitter data to supplement and improve both. To do so, consent within a survey is first needed. This study explores the consent decisions in three large representative surveys of the adult British population to link Twitter data to survey responses and the impact that demographics and survey mode have on these outcomes. Findings suggest that consent rates for data linkage are relatively low, and this is in part mediated by mode, where face-to-face surveys have higher consent rates than web versions. These findings are important to understand the potential for linking Twitter and survey data but also to the consent literature generally.
机译:鉴于诸如越来越多的单位非响应的问题,若干研究争辩说,诸如Twitter等社交媒体来源可以用作可行的替代品。但是,还有许多具有Twitter数据的缺点,例如关于其更广泛人群的代表性的问题以及无法验证您收集的数据的问题。前进的有用方式可以将调查和推特数据组合到补充和改进两者。为此,首先需要调查中的同意。本研究探讨了成年人英国人口三大代表调查中的同意决定,以将Twitter数据链接到调查答复以及人口统计和调查模式对这些结果的影响。调查结果表明,数据联动的同意率相对较低,这部分是由模式的介导的,那里面对面调查具有比Web版本更高的同意率。这些发现对于了解推特和调查数据的潜力通常非常重要,而且很重要,还非常重要,但通常也是同意文学的潜力。

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