Abstract

Mixing the methods of machine learning and those of French cultural studies, this article explores recent trends in French politics. We analyze a large data set from Twitter (over a hundred and fifty million tweets) in order to reveal notable currents in discourse around the Gilets Jaunes and the French presidency (with particular focus on Emmanuel Macron and Marine Le Pen). This article delineates our methods and places this data analysis in a broader cultural and political context, concentrating primarily on major trends in French politics from 2017 to late 2019. We argue that our interdisciplinary approach reveals elements of French political discourse that would otherwise remain obscure, especially regarding the rise and fall of the Gilets Jaunes movement on Twitter.

摘要

本文将机器学习方法与法国文化研究的方法相结合，探讨了法国政治的最新趋势。我们分析了来自Twitter的大量数据集（超过一亿五千万条推文），以揭示有关Gilets Jaunes和法国总统职位（特别是Emmanuel Macron和Marine Le Pen）的重要话题。本文概述了我们的方法，并将此数据分析放在了更广泛的文化和政治背景下，主要关注于2017年至2019年末法国政治的主要趋势。我们认为，我们的跨学科研究方法揭示了法国政治话语中的其他元素，否则这些元素将仍然晦涩，特别是关于Twitter上Gilets Jaunes运动的兴衰。