ABSTRACT This paper investigates the narrativity practices on Persian Twitter. It explores how a narrative is produced on Twitter, identifies the popular narratives and investigates the connections between these popular narratives and the political and social narratives in Iran during non-political happenings. Using KhosraviNik’s model of critical discourse studies, it sampled a tweet corpus of 23,964 tweets, gathered in the first 24 h after the 2017 Kermanshah earthquake in Iran. Three different kinds of narratives were found on Persian Twitter: contained narratives, master narratives, and connective narratives. Although these narratives lack some features of a classic narrative, they generally have the essential elements of narrativity. The findings also confirmed that popular narratives mainly advocate anti-state views and opinions. In fact, users framed and narrated the crisis by applying preexistent and emergent political stories to them.

中文翻译：

---

非政治危机中的政治叙事：2017 年克尔曼沙阿地震期间波斯推特上的叙事实践

摘要 本文调查了波斯语 Twitter 上的叙事实践。它探讨了 Twitter 上的叙事是如何产生的，识别流行的叙事并调查这些流行的叙事与伊朗在非政治事件中的政治和社会叙事之间的联系。使用 KhosraviNik 的批判性话语研究模型，它对 23,964 条推文的推文语料库进行了采样，这些推文是在 2017 年伊朗克尔曼沙赫地震后的前 24 小时内收集的。在波斯语 Twitter 上发现了三种不同的叙述：包含叙述、主叙述和连接叙述。尽管这些叙事缺乏经典叙事的某些特征，但它们通常具有叙事性的基本要素。调查结果还证实，流行叙事主要鼓吹反国家的观点和观点。实际上，