Augmenting surveys with social media data: a probabilistic framework for LinkedIn data linkage. -conference paper abstract-

Publication type

Journal Article

Authors

Publication date

June 10, 2024

Summary:

Introduction & Background:
LinkedIn, with its extensive global network of over 900 million members across more than 200 countries, presents a unique repository for examining labour market dynamics, professional development, and the impact of social networking on employment opportunities. Despite its potential, LinkedIn's wealth of data on professional trajectories, skills, and labour market outcomes remains largely untapped in survey research due to challenges in data collection.

Published in

International Journal of Population Data Science

Volume

Volume: 9

DOI

https://doi.org/10.23889/ijpds.v9i4.2433

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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