Online identity as a collective labeling process

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Alexander T. J. Barron, Marijn ten Thij, J. Bollen
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Abstract

Expressing identity socially involves a balance between conformity and innovation. One can adopt existing labels to express belonging to a certain community or introduce new labels to express an individual sense of identity. In such a process of co-creation, the existing identity labels of a community shape one’s sense of identity, while individual expression changes that of a community. Social media has introduced new opportunities to study the expression of collective identity. Here we study the group behavior of individuals defining their identities with hashtag self-labels in their Twitter profiles from mid-2017 through 2019. These timelines of personal self-labeling show behavior incorporating innovation, conservation, and social conformity when defining self. We show that the collective co-labeling of popular concepts in the context of identity, such as #resist and #maga, follow the dynamics of a modified Yule–Simon model balancing novelty and conformity. The dynamics of identity expression resemble the collective tagging processes of folksonomies, indicating a similarity between the collective tagging of external objects and the collective labeling of ourselves. Our work underpins a better understanding of how online environments mediate the evolution of collective identity which plays an increasingly important role in the establishment of community values and identity politics.
网络身份作为一个集体标签的过程
在社会上表达身份认同涉及从众和创新之间的平衡。人们可以采用现有的标签来表达对某个社区的归属,也可以引入新的标签来表示个人的认同感。在这样一个共同创造的过程中,一个社区现有的身份标签塑造了一个人的身份感,而个人的表达则改变了一个社区的身份感。社交媒体为研究集体身份的表达提供了新的机会。在这里,我们研究了2017年年中至2019年期间,在推特个人资料中使用标签自标签定义身份的个人的群体行为。这些个人自我标签的时间线显示了在定义自我时结合创新、保护和社会整合的行为。我们表明,在身份背景下,流行概念的集体共标记,如#resist和#maga,遵循了平衡新颖性和一致性的修正Yule–Simon模型的动力学。身份表达的动力学类似于民族学的集体标记过程,表明外部对象的集体标记和我们自己的集体标记之间的相似性。我们的工作为更好地理解网络环境如何介导集体身份的演变奠定了基础,集体身份在建立社区价值观和身份政治中发挥着越来越重要的作用。
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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