ePrints

Left out and invisible? : exploring social media representation of 'left behind places'

Lookup NU author(s): Dr Rachael Sanderson, Professor Rachel FranklinORCiD, Professor Danny MacKinnonORCiD, Dr Joe Matthews

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Sanderson R, Franklin R, MacKinnon D, Matthews J

Publication type: Article

Publication status: Published

Journal: GeoJournal

Year: 2024

Volume: 89

Online publication date: 08/02/2024

Acceptance date: 22/12/2023

Date deposited: 13/03/2024

ISSN (print): 0343-2521

ISSN (electronic): 1572-9893

Publisher: Springer Nature

URL: https://doi.org/10.1007/s10708-024-11010-z

DOI: 10.1007/s10708-024-11010-z

Data Access Statement: Due to Twitter's Terms and Conditions, we are unable to publicly provide the raw Twitter data. However, the search criteria to query the API is available in the source code, alongside anonymised individual tweet ID codes. This will allow others to access the same data analysed by the authors, subject to Twitter’s Terms and Conditions. All supporting data to build the models are openly available, with details provided in the supporting information. Code used to undertake the analysis will be available in a Github repository upon publication, alongside the tweet IDs. All tweet IDs are currently available in a repository within OSF with the DOI: 10.17605/OSF.IO/Q9M86

Altmetrics

Funding

Share