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Characterizing Politically Engaged Users' Behavior During the 2016 US Presidential Campaign

机译:在2016年美国总统大选期间表征政治参与用户的行为

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Political campaigns have frequently used the online social network as an important environment to exhibit the candidate ideas, their activities, and their electoral plans if elected. Some users are more politically engaged than others. As an example, we can observe intense political debates, especially during major campaigns on Twitter. In such context, this paper presents a characterization of politically engaged user groups on Twitter during the 2016 US Presidential Campaign. Using a rich dataset with 23 million tweets, 115 thousand user profiles and their contact network collected from January 2016 to November 2016, we identified four politically engaged user groups: advocates for both main candidates, political bots, and regular users. We present a characterization of how Twitter users behave during a political campaign through the language patterns analysis of tweets, which users receive more popularity during the campaign and how tweets from each candidate may have affected their mood variation, as expressed by the messages they share.
机译:政治运动经常使用在线社交网络作为展示候选人想法,活动和选举计划的重要环境(如果选举的话)。一些用户比其他用户更具政治参与度。例如,我们可以看到激烈的政治辩论,尤其是在Twitter上的重大竞选活动中。在这种背景下,本文介绍了2016年美国总统大选期间Twitter上政治参与的用户群体的特征。使用2016年1月至2016年11月收集的具有2300万条推文,11.5万个用户个人资料及其联系网络的丰富数据集,我们确定了四个参与政治活动的用户群体:主要候选人,政治机器人和常规用户的拥护者。我们通过推文的语言模式分析来描述Twitter用户在政治竞选活动中的行为特征,这些运动在竞选期间用户得到更多的欢迎,以及每个候选人的推文如何影响他们的情绪变化(如他们分享的消息所示)。

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