A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on Twitter

Guilherme Augusto da Silva Ferreira, Alan Keller Gomes
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引用次数: 1

Abstract

This work presents a systematic process for computing Bourdieusian Social Capital (BSC) within institutional Twitter profiles. Based on the observation of sociability practices (social interactions) with the support of Pierre Bourdieu's Theory, we capture data related to these practices, crystallized through performing actions such as Tweet, Comment, Retweet and Like. Next, social interactions are extracted from the captured data as sequences of actions and they are used to compute the effective mobilization capacity of each profile. Finally, the BSC volume is measured by using the effective mobilization capacity, the number of social interactions and the number of followers. The results obtained are aligned with the Bourdieu theory and the systematic process allows to compute the continuous sociability effort of each profile to maintain and expand its BSC. Moreover, the results show that polarities positive and neutral impacts in the composition of the BSC volume.
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在Twitter上的机构概况中计算布尔迪厄社会资本的系统过程
这项工作提出了一个系统的过程,计算布尔迪厄社会资本(BSC)在机构推特档案。基于对社交实践(社会互动)的观察,在皮埃尔·布迪厄理论的支持下,我们捕捉到与这些实践相关的数据,通过执行诸如Tweet, Comment, Retweet和Like等行为来具体化。接下来,从捕获的数据中提取社会互动作为动作序列,并使用它们来计算每个配置文件的有效动员能力。最后,通过有效动员能力、社会互动次数和追随者数量来衡量平衡记分卡量。得到的结果与布迪厄理论一致,系统的过程允许计算每个剖面的持续社交努力,以维持和扩展其平衡记分卡。此外,研究结果表明,极性正极性和中性极性对BSC体积的组成有影响。
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