Growing polarisation in society caught the attention of the scientific community as well as news media, which devote special issues to this phenomenon. At the same time, digitalisation of social interactions requires to revise concepts from social science regarding establishment of trust, which is a key feature of all human interactions, and group polarisation, as well as new computational tools to process large quantities of available data. Existing methods seem insufficient to tackle the problem fully, thus, we propose to approach the problem by investigating rhetorical strategies employed by individuals in polarising discussions online. To this end, we develop multi-topic and multi-platform corpora with manual annotation of appeals to ethos and pathos, two modes of persuasion in Aristotelian rhetoric. It can be employed for training language models to advance the study of communication strategies online on a large scale. With the use of computational methods, our corpora allows an investigation of recurring patterns in polarising exchanges across topics of discussion and media platforms, and conduct both quantitative and qualitative analyses of language structures leading to and engaged in polarisation.

通过调查在线极端讨论中个人采用的修辞策略，我们提出了利用计算方法开展语言模式训练，以推动大规模研究网络沟通策略的研究。利用计算方法，我们的语料库可以研究讨论话题及媒体平台上极端交流的重复模式，并进行定量和定性分析，以了解导致与参与极端化的语言结构。

社交媒体上极化议题的在线群组讨论中的伦理道德与感情策略