标题： 在线社交网络中的语言气泡 显示英文标题

标题： Language bubbles in online social networks

摘要： 社交媒体平台已成为公共话语的重要空间。 尽管政治极化和不同群体之间的交流有限已被广泛认可，但社会网络碎片化与不同社区使用的语言特征和质量之间的联系却未得到足够的关注。 本研究旨在通过考察意大利在Twitter/X上的辩论的社会结构和语言丰富性来填补这一空白。 我们分析了2018年至2022年间意大利政治人物和新闻机构的推文和转发推文，描述了转发网络，并通过各种词汇度量评估了不同社区中使用的语言。 我们的分析揭示了两种系统性模式：在网络中更接近的社区倾向于使用更相似的词汇，而孤立的社区则始终表现出较低的词汇多样性和丰富性。 这些模式共同说明了我们所谓的“语言气泡”。 这些发现表明，社会隔离的社区与其他社区互动较少，并发展出独特且贫乏的语言特征，突显了社会碎片化与语言分歧之间的结构性联系。 显示英文摘要

摘要： Social media platforms have become essential spaces for public discourse. While political polarisation and limited communication across different groups are widely acknowledged, the connection between social network fragmentation and the language features and quality used by various communities has received insufficient attention. This study aims to fill this gap by examining the social structure and linguistic richness of the Italian debate on Twitter/X. We analyse tweets and retweets from Italian politicians and news outlets between 2018 and 2022, characterising the retweet network and evaluating the language used within different communities through various lexical metrics. Our analysis uncovers two systematic patterns: communities closer in the network tend to use more similar vocabulary, while isolated communities consistently demonstrate lower lexical diversity and richness. Together, these patterns illustrate what we call ``language bubbles''. These findings indicate that socially isolated communities interact less with others and develop distinct and poorer linguistic profiles, highlighting a structural link between social fragmentation and linguistic divergence.