PERCEIVE The use of social media in EU policy communication and implications for the emergence of a European public sphere

This data set contains the underlying data of the paper “<strong>The use of social media in EU policy communication and implications for the emergence of a European public sphere</strong>”, published by The Journal of Regional Research - Investigaciones Regionales (ISSN: 1695-7253; E-ISSN: 2340-2717) in 2019. Data openly available within this dataset are a subset of the two following data sets, which contains all the relevant data of Work Package 3 and Work Package 5 of PERCEIVE project: Data set:<strong> “PERCEIVE: WP3: Effectiveness of communication strategies of EU projects” </strong>https://doi.org/10.5281/zenodo.3371133 Data set:<strong> “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” </strong>https://doi.org/10.5281/zenodo.3371174 For the paper we collected Facebook posts referred to EU CP policies. We don’t have the permission to share these data (as they are protected by copyright), but all the sources are described in Deliverable 5.2, which is public (see http://doi.org/10.6092/unibo/amsacta/5726 or http://doi.org/10.5281/zenodo.1318184). We analyzed the textual content of data to construct a database of discursive topics in Task5.4. Data set includes the results of topic modeling and of a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions.本数据集包含2019年发表于《Journal of Regional Research - Investigaciones Regionales》（ISSN：1695-7253；电子ISSN：2340-2717）的论文《欧盟政策传播中的社交媒体应用及其对欧洲公共领域形成的影响》的原始数据。本数据集内的公开可用数据为下述两个数据集的子集，二者涵盖了PERCEIVE项目第三工作包（Work Package, WP3）与第五工作包（Work Package, WP5）的全部相关数据：数据集“PERCEIVE：WP3：欧盟项目传播策略的有效性”（DOI链接：https://doi.org/10.5281/zenodo.3371133），以及数据集“PERCEIVE：WP5：不同话语层面下欧盟与凝聚力区域及城市政策的共享意义多元性”（DOI链接：https://doi.org/10.5281/zenodo.3371174）。针对该论文，研究团队收集了与欧盟凝聚政策相关的Facebook帖子。由于此类数据受版权保护，我们无权共享原始数据，但所有数据来源均已在公开交付件（Deliverable）5.2中详细说明，可通过以下链接访问：http://doi.org/10.6092/unibo/amsacta/5726 或 http://doi.org/10.5281/zenodo.1318184。研究团队在任务5.4中对数据的文本内容进行分析，以构建话语主题数据库。本数据集包含针对PERCEIVE项目案例研究区域的地方管理当局（Local Management Authorities, LMA）Facebook主页所开展的主题建模（topic modeling）与情感分析（sentiment analysis）结果。