10.15131/shef.data.12287498.v1
Genevieve Gorrell
Genevieve
Gorrell
Diana Maynard
Diana
Maynard
Mehmet Bakir
Mehmet
Bakir
Juan Kanai
Juan
Kanai
Luke Temple
Luke
Temple
Jacqueline Harrison
Jacqueline
Harrison
Kalina Bontcheva
Kalina
Bontcheva
BA Brexit Geomedia Shared Data
The University of Sheffield
2020
Twitter
Brexit
Media
Newspapers
Geography
Internet
Politics
Social and Community Informatics
Human Information Behaviour
2020-05-13 08:17:41
Dataset
https://orda.shef.ac.uk/articles/dataset/BA_Brexit_Geomedia_Shared_Data/12287498
This archive contains shared materials pertaining to the forthcoming paper "Local media and geo-situated responses to Brexit: A quantitative analysis of Twitter, news and survey data" by Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Jackie Harrison, J. Miguel Kanai and Kalina Bontcheva.<div><br></div><div><div>It contains a folder with a separate document for each of the topic-model-derived topics explored in the paper. The first two columns are topic scores for material from each separate Twitter account in the corpus, along with their Brexit vote intention. After a blank column comes the national newspaper article topic scores. After a further blank column come the local newspaper article scores, along with the NUTS1 region in which they are published.</div><div><br></div><div>Additionally there is a spreadsheet with entity-based topic scores for each newspaper.</div></div><div><br></div><div><div>Ethics approval was obtained for the Twitter data collection from the University of Sheffield (application number 011934).</div></div>