欧洲政党在Facebook上使用的关键字数据集。

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 Epub Date: 2025-01-10 DOI:10.1016/j.dib.2025.111280
Francisco Caravaca , Ángel Cuevas , Rubén Cuevas
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引用次数: 0

摘要

该数据集包含政党在其Facebook页面上发布的帖子中使用的数千个术语(或关键字)的频率。该数据集由来自28个国家的279个欧洲政党发布的帖子中的20,317个关键词组成,跨度为5年,从2019年1月到2023年12月。由于被分析国家的语言差异很大,我们将每篇文章翻译成英语来编制这个数据集。我们还提供了一个开放访问的门户网站:欧盟政治晴雨表,在其中可以进行各种各样的分析,而不需要直接使用数据集。这使得没有数据分析背景的科学家可以访问数据集中嵌入的信息。数据集中包含的信息可能对社会科学家有价值,他们希望了解基于广泛使用的政治沟通工具(如Facebook)的欧洲政党所采用的主题的演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Dataset of keywords used by European political parties on Facebook
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.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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