Dialogic analysis of government social media communication: How commanding and thanking elicit blame

被引：1

作者：

Page, Ruth ^{[1
]}

Hansson, Sten ^{[2
]}

机构：

[1] Univ Birmingham, Dept English Language & Linguist, Birmingham, England

[2] Univ Tartu, Commun, Tartu, Estonia

来源：

DISCOURSE CONTEXT & MEDIA | 2024年 / 57卷

基金：

欧盟地平线“2020”;

关键词：

Blame; Crisis communication; Government communication; Directives; Expressives; Blame avoidance; GRATITUDE; CRISIS; EXPRESSIONS; LEADERSHIP; SOLIDARITY; MANAGEMENT; STYLE;

D O I：

10.1016/j.dcm.2024.100757

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

During major crises, such as the Covid-19 pandemic, government officeholders issue commands to change people's behaviour (e.g., 'Stay at home!') and express thanks to acknowledge the efforts of others and build solidarity. We use specialised datasets of replies to social media posts by government ministers in the United Kingdom during Covid-19 lockdowns to explore how people react to their messages that contain directive speech acts and thanking. Empirically, our corpus-assisted analysis of evaluative language and blaming shows that far from promoting team spirit, thanking may elicit at least as much, if not more blaming language than commands. Methodologically, we demonstrate how to analyse government social media communication dialogically to gain more nuanced insights about online feedback from citizens.

引用

页数：11

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