社交媒体中生活事件冲击中的社会关系参与分析

Minje Choi, David Jurgens, Daniel M. Romero
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引用次数: 2

摘要

个人在经历意外的痛苦事件、冲击时,往往依赖于他们的社会网络来获得支持。虽然之前的研究已经展示了社会网络对冲击的反应,但这些研究通常平等对待所有的关系,尽管不同的社会关系提供的支持是不同的。在这里,我们对Twitter进行了计算分析,以检验用户对在线冲击的反应如何因关系类型而异。我们引入了一个新的数据集,其中包含超过13K个Twitter上个人自我报告的震惊事件实例,并围绕这些事件构建了关系标记的二元互动网络。通过在伪因果分析中检查对震惊用户的11万次回复的行为,我们展示了响应水平和话题转移的关系特定模式。我们还表明,虽然建立良好的社会亲密度(如纽带强度和结构嵌入性)有助于冲击反应,但影响程度高度依赖于关系和冲击类型。我们的研究结果表明,社交关系在网络互动中包含了高度独特的特征,并且在线冲击反应中的特定关系行为与离线环境中的行为是独特的。
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Analyzing the Engagement of Social Relationships during Life Event Shocks in Social Media
Individuals experiencing unexpected distressing events, shocks, often rely on their social network for support. While prior work has shown how social networks respond to shocks, these studies usually treat all ties equally, despite differences in the support provided by different social relationships. Here, we conduct a computational analysis on Twitter that examines how responses to online shocks differ by the relationship type of a user dyad. We introduce a new dataset of over 13K instances of individuals' self-reporting shock events on Twitter and construct networks of relationship-labeled dyadic interactions around these events. By examining behaviors across 110K replies to shocked users in a pseudo-causal analysis, we demonstrate relationship-specific patterns in response levels and topic shifts. We also show that while well-established social dimensions of closeness such as tie strength and structural embeddedness contribute to shock responsiveness, the degree of impact is highly dependent on relationship and shock types. Our findings indicate that social relationships contain highly distinctive characteristics in network interactions, and that relationship-specific behaviors in online shock responses are unique from those of offline settings.
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