Shaping Narratives Through Selective Use of Numbers: A Covid-19 Case Study

Aarushi Kataria
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引用次数: 0

Abstract

In the period between March 2020 and May 2021, India’s Ministry of Health and Family Welfare produced 1,324 press releases, at an average of three per day. At different times, these press releases  provided different numbers relating to the COVID-19 crisis: number of cases, number of recoveries, number of deaths, quantity of medical supply, recovery rate, and case fatality rate. This paper analyses the content of the press releases and identifies patterns that correspond to  specific narratives such as hope, confidence, electoral emphasis, and deflection. The paper argues that the press releases served as a mechanism for the government to drive narratives in a manner that showed it in a favourable light, irrespective of the actual performance.
通过选择性使用数字塑造叙事:Covid-19案例研究
在2020年3月至2021年5月期间,印度卫生和家庭福利部发布了1324份新闻稿,平均每天发布3份。在不同时间,这些新闻稿提供了与COVID-19危机相关的不同数字:病例数、康复数、死亡人数、医疗供应量、治愈率和病死率。本文分析了新闻稿的内容,并确定了与希望、信心、选举重点和偏转等具体叙述相对应的模式。这篇论文认为,新闻发布作为一种机制,让政府以一种有利的方式推动叙事,而不管实际表现如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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