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关于新冠疫情期间社交媒体引发两极分化的确认偏差观点

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19.

作者信息

Modgil Sachin, Singh Rohit Kumar, Gupta Shivam, Dennehy Denis

机构信息

International Management Institute (IMI) Kolkata, Kolkata, India.

NEOMA Business School, Mont-Saint-Aignan, France.

出版信息

Inf Syst Front. 2021 Nov 20:1-25. doi: 10.1007/s10796-021-10222-9.

Abstract

Social media has played a pivotal role in polarising views on politics, climate change, and more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses serious challenges to society as it could enable 'digital wildfires' that can wreak havoc worldwide. While the effects of SMIP have been extensively studied, there is limited understanding of the interplay between two key components of this phenomenon: confirmation bias (reinforcing one's attitudes and beliefs) and echo chambers (i.e., hear their own voice). This paper addresses this knowledge deficit by exploring how manifestations of confirmation bias contributed to the development of 'echo chambers' at the height of the Covid-19 pandemic. Thematic analysis of data collected from 35 participants involved in supply chain information processing forms the basis of a conceptual model of SMIP and four key cross-cutting propositions emerging from the data that have implications for research and practice.

摘要

社交媒体在使人们对政治、气候变化以及最近的新冠疫情大流行的观点两极分化方面发挥了关键作用。社交媒体引发的两极分化(SMIP)给社会带来了严峻挑战,因为它可能引发“数字野火”,从而在全球造成严重破坏。虽然对SMIP的影响已进行了广泛研究,但对于这一现象的两个关键组成部分之间的相互作用,即证实性偏差(强化个人态度和信念)和信息茧房(即只听到自己的声音),人们的了解有限。本文通过探讨在新冠疫情大流行高峰期证实性偏差的表现如何促成“信息茧房”的形成,来弥补这一知识空白。对35名参与供应链信息处理的参与者收集的数据进行主题分析,构成了SMIP概念模型以及从数据中得出的对研究和实践有影响的四个关键贯穿性命题的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960e/8604707/61529848d912/10796_2021_10222_Fig1_HTML.jpg

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