Political narrating in non-political crises: narrativity practices on Persian Twitter during the 2017 Kermanshah earthquake

Hossein Kermani

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Cultural and political discourse analysis Narrative Theory and Analysis Media Discourse and Social Analysis

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.

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References

2019Content Analysis: An Introduction to Its Methodology 1997Narrative Analysis: Oral Versions of Personal Experience1 2012THE LOGIC OF CONNECTIVE ACTION 2002Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability 2013The Logic of Connective Action 2008Small stories as a new perspective in narrative and identity analysis 2016Methods of Critical Discourse Studies 2012Social Media and the Decision to Participate in Political Protest: Observations From Tahrir Square

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