STORRE
STORRE: Stirling Online Research Repository
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/35569| Appears in Collections: | Biological and Environmental Sciences Journal Articles |
| Peer Review Status: | Refereed |
| Title: | Great Britain's spatial twitter activity related to ‘fracking’ |
| Author(s): | Bartie, P Varley, A Dickie, J Evensen, D Devine-Wright, P Ryder, S Whitmarsh, L Foad, C |
| Contact Email: | j.a.dickie@stir.ac.uk |
| Keywords: | χ-Squared expectation surface: Social media Geolocated tweets Fracking |
| Issue Date: | Jul-2023 |
| Date Deposited: | 16-Oct-2023 |
| Citation: | Bartie P, Varley A, Dickie J, Evensen D, Devine-Wright P, Ryder S, Whitmarsh L & Foad C (2023) Great Britain's spatial twitter activity related to ‘fracking’. <i>Computers, Environment and Urban Systems</i>, 103, Art. No.: 101978. https://doi.org/10.1016/j.compenvurbsys.2023.101978 |
| Abstract: | Fracking has proven to be a contentious issue in Great Britain, receiving wide press coverage from the initial sale of exploration and development licences, to the current moratorium. This research tracks the public activity online related to this ‘fracking’ journey by analysing over 317 million geolocated tweets from 2015 to 2020, mapping their location to compare the spatial distribution against the shale gas exploration sites. To spatially normalise the results for population density a χ-squared expectation surface was generated revealing higher than expected levels of interest near the previously active fracking site of Preston New Road and licenced extraction blocks in Lancashire. The data granularity allows for peaks of activity to be identified and topics analysed at higher temporal and spatial resolution than previously possible with more traditional surveys. The paper demonstrates the use of χ-squared expectation surfaces for normalising geotweets and the value of social media spatial-temporal analysis for monitoring local involvement in environmental issues, and for monitoring the changing level of interest across different regions in reaction to political decisions. |
| DOI Link: | 10.1016/j.compenvurbsys.2023.101978 |
| Rights: | This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article. To request permission for a type of use not listed, please contact Elsevier Global Rights Department. |
| Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CEUS101978.pdf | Fulltext - Accepted Version | 9.23 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.