Al Baghal, T and Sloan, L and Jessop, C and Williams, M and Burnap, P (2020) Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies. Social Science Computer Review, 38 (5). pp. 517-532. DOI https://doi.org/10.1177/0894439319828011
Al Baghal, T and Sloan, L and Jessop, C and Williams, M and Burnap, P (2020) Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies. Social Science Computer Review, 38 (5). pp. 517-532. DOI https://doi.org/10.1177/0894439319828011
Al Baghal, T and Sloan, L and Jessop, C and Williams, M and Burnap, P (2020) Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies. Social Science Computer Review, 38 (5). pp. 517-532. DOI https://doi.org/10.1177/0894439319828011
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | Twitter, surveys, consent, linkage, mode effects |
Subjects: | H Social Sciences > H Social Sciences (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Mar 2019 11:34 |
Last Modified: | 30 Oct 2024 16:55 |
URI: | http://repository.essex.ac.uk/id/eprint/24162 |
Available files
Filename: 0894439319828011.pdf
Licence: Creative Commons: Attribution 3.0