Authors
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.
Volume
Volume: 9
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.