论文标题
Twitter上的政治社区：2022年法国总统大选的案例研究
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
论文作者
论文摘要
随着社交媒体平台上用户的显着增加，出现了一种新的政治竞选方式。 Twitter和Facebook现在是选举期间著名的竞选工具。的确，候选人及其政党现在访问互联网互动并传播他们的想法。在本文中，我们旨在确定2022年法国总统大选上在Twitter上形成的政治社区，并分析每个社区。我们创建了一个大规模的Twitter数据集，其中包含120万用户和6260万条推文，其中提到了与选举相关的关键字。我们在转发图表上进行社区检测，并对每个社区的立场进行深入分析。最后，我们试图检测进攻性推文和自动机器人，并在整个社区进行比较，以便深入了解每个候选人的支持者人口统计和在线竞选策略。
With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during elections. Indeed, the candidates and their parties now take to the internet to interact and spread their ideas. In this paper, we aim to identify political communities formed on Twitter during the 2022 French presidential election and analyze each respective community. We create a large-scale Twitter dataset containing 1.2 million users and 62.6 million tweets that mention keywords relevant to the election. We perform community detection on a retweet graph of users and propose an in-depth analysis of the stance of each community. Finally, we attempt to detect offensive tweets and automatic bots, comparing across communities in order to gain insight into each candidate's supporter demographics and online campaign strategy.
