Journal Article

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

By Tarek Al Baghal, Paulo Serodio, Shujun Liu, Luke Sloan and Curtis Jessop

Publication details

Publication date
Published in
International Journal of Population Data Science
Volume
9
Publisher
Swansea University
DOI
https://doi.org/10.23889/ijpds.v9i4.2438
ISSN
23994908

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.

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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