Social media has become extremely influential when it comes to policy making in modern societies especially in the western world (e.g., 48% of Europeans use social media every day or almost every day). Platforms such as Twitter allow users to follow politicians, thus making citizens more involved in political discussion. In the same vein, politicians use Twitter to express their opinions, debate among others on current topics and promote their political agenda aiming to influence voter behaviour. Previous studies have shown that tweets conveying negative sentiment are likely to be retweeted more frequently. In this paper, we attempt to analyse tweets from politicians from different countries and explore if their tweets follow the same trend. Utilising state-of-the-art pre-trained language models we performed sentiment analysis on multilingual tweets collected from members of parliament of Greece, Spain and United Kingdom, including devolved administrations. We achieved this by systematically exploring and analysing the differences between influential and less popular tweets. Our analysis indicates that politicians' negatively charged tweets spread more widely, especially in more recent times, and highlights interesting trends in the intersection of sentiment and popularity.
翻译:在现代社会,特别是西方国家,在决策方面,社交媒体已变得极具影响力(例如,48%的欧洲人每天或几乎每天使用社交媒体)。 诸如推特等平台允许用户跟踪政治家,从而使公民更多地参与政治讨论。 同样,政客利用推特表达他们的意见,就当前议题展开辩论,并宣传旨在影响选民行为的政治议程。先前的研究显示,传达负面情绪的推文可能会被更频繁地反弹。在本文中,我们试图分析来自不同国家的政治家的推文,并探索他们的推文是否遵循同一趋势。我们利用了从希腊、西班牙和联合王国议会成员收集的多语种推文,包括从权力下放的行政部门收集的先进语言模型。我们通过系统探讨和分析有影响力和不太受欢迎的推文之间的差异,实现了这一点。我们的分析表明,政客的负面推文传播更加广泛,特别是在近期,并突显了情感和流行交汇的有趣趋势。