Caravaca Francisco, Cuevas Ángel, Cuevas Rubén
Department of Telematic Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain.
UC3M-Santander Big Data Institute, Calle Madrid 135, 28903 Getafe, Spain.
Data Brief. 2025 Jan 10;58:111280. doi: 10.1016/j.dib.2025.111280. eCollection 2025 Feb.
This dataset contains the frequency of thousands of terms (or keywords) used by political parties in the posts they have published in their Facebook pages. The data set is composed by 20,317 keywords from posts published by 279 European political parties from 28 countries and spans 5 years, from January 2019 to December 2023. Due to the large diversity of languages in the analysed countries, we have translated every post into English to compile this dataset. We also provide an open-access web portal: EU Political Barometer, in which a wide variety of analyses can be carried out without the need of working directly with the dataset. This allows scientists without a data analysis background to access the information embedded within the dataset. The information included in the dataset may be of value for social scientists that wants to understand the evolution of the topics employed by political parties in Europe based on a widely used political communication tool such as Facebook.
该数据集包含数千个政党在其Facebook页面发布的帖子中使用的词汇（或关键词）的频率。数据集由来自28个国家的279个欧洲政党发布的帖子中的20317个关键词组成，时间跨度为5年，从2019年1月至2023年12月。由于所分析国家语言的多样性，我们已将每篇帖子翻译成英文以汇编此数据集。我们还提供了一个开放访问的网络门户：欧盟政治晴雨表，在该门户中无需直接处理数据集即可进行各种分析。这使得没有数据分析背景的科学家也能获取数据集中包含的信息。对于那些希望基于Facebook这样广泛使用的政治沟通工具来了解欧洲政党所使用主题演变情况的社会科学家而言，数据集中包含的信息可能具有价值。
