通过疫苗辩论,用布尔迪厄的 "习惯 "概念审视推特上的强化趋势现象

Hacer Sena Öztürk, Kutluhan Meral, Mustafa Yarimbaş
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引用次数: 0

摘要

皮埃尔-布迪厄(Pierre Bourdieu)提到了一些概念,如惯性(habitus)、场域(field)和资本(capital),用以解释社会生活中的现象。在本研究中,我们研究了皮埃尔-布迪厄将这些概念应用于日常实践中的现象在推特上的投射,推特被认为是个人和社会舆论形成的决定性社交媒体平台。我们借助基于疫苗讨论的算法,研究了推特对个人确认偏差的影响。因此,我们使用了布迪厄(Bourdieu)的 "习惯"(habitus)概念,并推断推特上的算法和过滤气泡对人们具有类似的影响。因此,我们对社交媒体在实际生活中决定想法的过程中所起的作用提出了质疑,从肯定的角度看,社交媒体被认为是多声部的。本研究的目的是了解 Twitter 是否提供了所宣称的复调性,或者它是否在算法和确认偏见的影响下阻碍了不同意见的表达。在这项研究中,我们采用了半结构式访谈的方法来测量 Twitter 用户的深层体验,并分析社会文化条件对个人观点形成的影响。最后,我们使用描述性分析方法解释了研究结果。我们发现,由算法和过滤气泡组成的社交媒体平台迫使用户限制其所处的环境,而不是创造多元性。因此,它们导致个人当前的想法被反复确认,他们所处的环境被相同的观点所包围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bourdieu’nün “Habitus” Kavramıyla Twitter’daki Eğilimleri Pekiştirme Olgusunun Aşı Tartışmaları Üzerinden İncelenmesi
Pierre Bourdieu refers to some concepts, such as habitus, field and capital to explain the phenomena in social life. In this study, we examined the projections of the concepts that Pierre Bourdieu applies to the phenomena in everyday practice in the context of Twitter, which is believed to be a determinative social media platform for the formation of individual and social opinion. We examined the influence of Twitter on the confirmation bias of individuals with the help of algorithms based on vaccine discussions. Accordingly, we used Bourdieu's concept of habitus and the inference that algorithms and filter bubbles on Twitter have similar influences on people. Thus, we questioned the role of social media, which is considered polyphonic from an affirmative perspective, in the process of determining ideas in actual life. The aim of this study is to find out whether Twitter offers the claimed polyphony or whether it prevents different opinions from being heard with the effect of algorithms and confirmation bias. In this study, we used the semi-structured interview approach to measure Twitter users' deeper experiences and to analyze the influence of socio-cultural conditions on the formation of individual opinion. Finally, we explained the findings using a descriptive analysis method. We found that social media platforms, which consist of algorithms and filter bubbles, force users to limit their environment rather than creating polyphony. As a result, they cause individuals' current ideas to be confirmed repeatedly, and their environment to be surrounded by the same opinion.
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