BA Brexit Geomedia Shared Data

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.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.Additionally there is a spreadsheet with entity-based topic scores for each newspaper.Ethics approval was obtained for the Twitter data collection from the University of Sheffield (application number 011934).

本存档收录了与即将发表的论文《地方媒体与英国脱欧的地理定位反应：对推特、新闻和调查数据的定量分析》（作者：Genevieve Gorrell、Mehmet E. Bakir、Luke Temple、Diana Maynard、Jackie Harrison、J. Miguel Kanai 和 Kalina Bontcheva）相关的共享材料。其中包含一个文件夹，其中包含论文中探讨的每个主题模型衍生主题的单独文档。前两列分别显示了语料库中每个单独推特账户的议题得分以及他们的英国脱欧投票意向。接下来是一空白列，然后是国家报纸文章的议题得分。再之后是一空白列，随后是地方报纸文章的得分，以及它们所发布的NUTS1区域。此外，还包括一份包含每家报纸基于实体的议题得分的电子表格。推特数据收集已获得谢菲尔德大学（申请编号011934）的伦理审查批准。