Profile update: the effects of identity disclosure on network connections and language

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Minje Choi, Daniel M. Romero, David Jurgens
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引用次数: 0

Abstract

Our social identities determine how we interact and engage with the world surrounding us. In online settings, individuals can make these identities explicit by including them in their public biography, possibly signaling a change in what is important to them and how they should be viewed. While there is evidence suggesting the impact of intentional identity disclosure in online social platforms, its actual effect on engagement activities at the user level has yet to be explored. Here, we perform the first large-scale study on Twitter that examines behavioral changes following identity disclosure on Twitter profiles. Combining social networks with methods from natural language processing and quasi-experimental analyses, we discover that after disclosing an identity on their profiles, users (1) tweet and retweet more in a way that aligns with their respective identities, and (2) connect more with users that disclose similar identities. We also examine whether disclosing the identity increases the chance of being targeted for offensive comments and find that in fact (3) the combined effect of disclosing identity via both tweets and profiles is associated with a reduced number of offensive replies from others. Our findings highlight that the decision to disclose one’s identity in online spaces can lead to substantial changes in how they express themselves or forge connections, with a lesser degree of negative consequences than anticipated.

Abstract Image

资料更新:身份披露对网络联系和语言的影响
我们的社会身份决定了我们如何与周围的世界互动和交往。在网络环境中,个人可以将这些身份明确写入自己的公开传记,这可能意味着对他们来说什么是重要的以及应该如何看待他们。虽然有证据表明在网络社交平台上有意公开身份会产生影响,但其在用户层面上对参与活动的实际影响还有待探索。在此,我们首次在 Twitter 上开展大规模研究,探讨在 Twitter 个人档案上披露身份后的行为变化。通过将社交网络与自然语言处理方法和准实验分析相结合,我们发现,在个人档案中公开身份后,用户(1)会以更符合各自身份的方式发推和转推,(2)会与公开类似身份的用户建立更多联系。我们还研究了公开身份是否会增加被攻击性评论盯上的几率,发现事实上(3)通过推文和个人资料公开身份的综合效应与他人攻击性回复数量的减少有关。我们的研究结果突出表明,决定在网络空间公开自己的身份会使他们表达自己或建立联系的方式发生重大变化,而负面影响的程度却低于预期。
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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