Using large-language models to analyse social media engagement with the public sector communication on circular economy: evidence from X

Li, Y, Cao, D ORCID logoORCID: https://orcid.org/0000-0002-2614-3726, Hewitt, M ORCID logoORCID: https://orcid.org/0000-0002-7036-3451 and Shan, S ORCID logoORCID: https://orcid.org/0000-0003-4928-588X, 2026. Using large-language models to analyse social media engagement with the public sector communication on circular economy: evidence from X. Technological Forecasting and Social Change, 222: 124400. ISSN 0040-1625

Full text not available from this repository.
Item Type: Journal article
Publication Title: Technological Forecasting and Social Change
Creators: Li, Y., Cao, D., Hewitt, M. and Shan, S.
Publisher: Elsevier BV
Date: January 2026
Volume: 222
ISSN: 0040-1625
Identifiers:
Number
Type
10.1016/j.techfore.2025.124400
DOI
2521923
Other
Divisions: Schools > Nottingham Business School
Record created by: Laura Borcherds
Date Added: 11 Nov 2025 10:48
Last Modified: 11 Nov 2025 10:48
URI: https://irep.ntu.ac.uk/id/eprint/54704

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