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Talking Politics on Twitter: Gender, Elections, and Social Networks:

机译:Twitter上的谈论政治:性别,选举和社交网络:

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As campaign discussions increasingly circulate within social media, it is important to understand the characteristics of these conversations. Specifically, we ask whether well-documented patterns of gendered bias against women candidates persist in socially networked political discussions. Theorizing power dynamics as relational, we use dialectic configurations between actors as independent variables determining network measures as outcomes. Our goal is to assess relational power granted to candidates through Twitter conversations about them and whether they change depending on the gender of their opponent. Based on more than a quarter of a million tweets about 50 candidates for state-wide offices during the 2014 US elections, results suggest that when a woman opposes a man, the conversation revolves around her, but she retains a smaller portion of rhetorical share. We find that gender affects network structurea??women candidates are both more central and more replied to when they run against men. Despite the potential for social media to disrupt deeply rooted gender bias, our findings suggest that the structure of networked discussions about male and female candidates still results in a differential distribution of relational power.
机译:随着竞选讨论越来越多地在社交媒体中传播,了解这些对话的特征非常重要。具体而言,我们询问在社交网络政治讨论中,是否存在有据可查的针对女性候选人的性别偏见模式。从理论上将动力动力学视为关系,我们将参与者之间的辩证配置作为独立变量,将网络度量确定为结果。我们的目标是评估通过Twitter讨论候选人而赋予候选人的关系能力,以及他们是否根据对手的性别而变化。根据2014年美国大选期间约50个州级办公室候选人的百万条推文中的四分之一,结果表明,当一个女人反对一个男人时,话题围绕着她展开,但她保留的只是一小部分。我们发现性别会影响人际关系网络的结构?女性候选人在与男性竞争时,既更加重要,又更能得到回应。尽管社交媒体有可能破坏根深蒂固的性别偏见,但我们的发现表明,关于男性和女性候选人的网络讨论的结构仍然导致关系力量的差异分布。

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