Department of Archaeology, School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, United Kingdom.
Institute of Archaeology, University College London, London, United Kingdom.
PLoS One. 2024 Sep 4;19(9):e0308919. doi: 10.1371/journal.pone.0308919. eCollection 2024.
This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions.
本研究评估了在社交媒体上关于政治问题的辩论中提到古代是否会过度表达负面和极端观点。我们使用精度-召回率,在一个包含 1478433 个帖子、评论和回复的语料库上测试了三种情感分析方法(VADER、TextBlob 和 Flair Sentiment)的性能,这些帖子、评论和回复是在 2015 年至 2017 年期间在英国退欧主题的 Facebook 页面上发布的。根据 VADER 的结果和手动编码,我们证明了:1)不包含与铁器时代、罗马和中世纪(IARM)过去相关的关键词的文本大多是中性的;2)包含 IARM 关键词的文本比不包含关键词的文本表达了更负面和极端的情绪。我们的研究结果表明,在社交媒体上关于多方面问题的政治话语中提到古代,可能表明存在敌对和两极化的观点。