PinBook - 20 top shares in 2019

The raw data, consisting of posts and engagement metrics from 11 official pages from political parties in Portugal, gathered with the application Facepager, was subject to a series of quantitative analyses to detect general trends. For this paper, from a total of 6,905 posts for the year of 2019, we have selected a subset of the 20 with highest shares per page, which were manually coded for content analysis using a coding scheme developed by the team, and automated sentiment analysis.

本研究的原始数据由葡萄牙11个政党官方账号的帖文及其互动指标构成，通过Facepager工具采集所得。针对该数据集，我们开展了一系列定量分析以探测整体趋势。就本论文而言，我们从2019年总计6905条帖文中，按每个官方页面筛选出分享量最高的20条帖文；随后采用团队自研的编码体系对这批帖文进行人工编码以开展内容分析，并辅以自动化情感分析。