Using social media metrics and linked survey data to understand survey behaviors -conference paper abstract-

Publication type

Journal Article

Authors

Publication date

June 10, 2024

Summary:

Introduction & Background:
Linking social media and survey data at the individual level has the potential to add evidence to a variety of research questions. To make this data openly available to others, social media data need to be converted into useful metrics that minimise issues of disclosure while maximising utility. This research explores linkages of Twitter data and survey data in the Understanding Society Innovation panel, focusing on the usage of non-disclosive metrics created from Twitter data alongside the similarly anonymised survey data.

Published in

International Journal of Population Data Science

Volume

Volume: 9

DOI

https://doi.org/10.23889/ijpds.v9i4.2438

ISSN

23994908

Subjects

Notes

Conference Proceedings for 2nd Digital Footprints Conference 'Linking Digital Data for Social Impact', 8-9th May 2024, University of Bristol.

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

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