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British Election Longitudinal News Study, 2015–2019

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DataCite Commons2022-04-13 更新2025-04-16 收录
下载链接:
http://reshare.ukdataservice.ac.uk/id/eprint/855644
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资源简介:
The British Election Longitudinal News Study 2015–2019 (BELNS) contains campaign coverage relating to three general elections: 2015, 2017, 2019 and the 2016 EU referendum. Media included are national newspapers, local newspapers, television and radio news. The print newspaper component tracks topic and general election candidate coverage across 46 national and local sources, including actor-level sentiment in the 2015, 2017 and 2019 general elections. The television and radio component tracks topic and general election candidate coverage across 24national and local sources, including actor-level sentiment in the 2017 and 2019 general elections and the 2016 EU referendum. For issues, the data are at the outlet-day level on topics that correspond to mii, the “SINGLE MOST important issues facing the country” asked in all waves of the British Election Study Panels 2014 to 2023 (Fieldhouse et al. 2019) as open-ended response items. The unit of analysis is the news source with repeated measures for each day during the study period, with variables corresponding to election period (GE2015, GE2017, GE2019, Brexit), and topics. For the candidate data, the unit of analysis is the candidate standing for election (or political figure during the referendum) and the variables relate to: election period (GE2015, GE2017, GE2019) or the EU Referendum in 2016, number of stories in which candidate was mentioned across all sources, as well as sentiment per source using different measures.

2015-2019年英国选举纵向新闻研究(BELNS)包含与2015、2017、2019年三次大选及2016年欧盟公投相关的竞选报道。涉及的媒体类型包括全国性报纸、地方性报纸、电视和广播新闻。印刷报纸部分追踪46家全国及地方性来源中的主题及大选候选人报道,包括2015、2017和2019年大选中行动者层面的情感倾向(actor-level sentiment)。电视与广播部分追踪24家全国及地方性来源中的主题及大选候选人报道,包括2017、2019年大选及2016年欧盟公投中行动者层面的情感倾向。关于议题,数据以媒体-日期层面呈现,涉及的主题对应mii——即英国选举研究面板(British Election Study Panels)2014至2023年所有波次中作为开放式回答项提出的‘国家面临的最重要单一议题’(SINGLE MOST important issues facing the country)(Fieldhouse等人,2019)。分析单元为新闻来源,在研究期间对每日进行重复测量,变量对应选举期(GE2015、GE2017、GE2019、Brexit)及主题。对于候选人数据,分析单元为参选候选人(或公投期间的政治人物),变量涉及:选举期(GE2015、GE2017、GE2019)或2016年欧盟公投、候选人在所有来源中被提及的报道数量,以及各来源采用不同测量方法的情感倾向。
提供机构:
UK Data Service
创建时间:
2022-04-13
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