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Rising tides or rising stars?: Dynamics of shared attention on twitter during media events

机译:是涨潮还是升起的星星?:媒体事件期间Twitter上的共同关注动态

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摘要

"Media events" generate conditions of shared attention as many users simultaneously tune in with the dual screens of broadcast and social media to view and participate. We examine how collective patterns of user behavior under conditions of shared attention are distinct from other "bursts" of activity like breaking news events. Using 290 million tweets from a panel of 193,532 politically active Twitter users, we compare features of their behavior during eight major events during the 2012 U.S. presidential election to examine how patterns of social media use change during these media events compared to "typical" time and whether these changes are attributable to shifts in the behavior of the population as a whole or shifts from particular segments such as elites. Compared to baseline time periods, our findings reveal that media events not only generate large volumes of tweets, but they are also associated with (1) substantial declines in interpersonal communication, (2) more highly concentrated attention by replying to and retweeting particular users, and (3) elite users predominantly benefiting from this attention. These findings empirically demonstrate how bursts of activity on Twitter during media events significantly alter underlying social processes of interpersonal communication and social interaction. Because the behavior of large populations within socio-technical systems can change so dramatically, our findings suggest the need for further research about how social media responses to media events can be used to support collective sensemaking, to promote informed deliberation, and to remain resilient in the face of misinformation. © 2014 Lin et al.
机译:“媒体事件”产生了共同关注的条件,因为许多用户同时收听广播和社交媒体的双重屏幕以观看和参与。我们研究了在共同关注的条件下用户行为的集体模式与突发新闻事件之类的其他“爆发”活动有何不同。我们使用来自193,532个政治活跃的Twitter用户的面板中的2.9亿条推文,比较了他们在2012年美国总统大选期间的八项主要事件中的行为特征,以研究与“典型”时间和这些变化是归因于总体人口行为的变化,还是归因于特定群体(例如精英​​)的变化。与基准时间段相比,我们的发现表明,媒体事件不仅会产生大量推文,而且还与(1)人际交流大幅下降,(2)通过回复和转发特定用户而更加集中注意力, (3)精英用户主要受益于这种关注。这些发现从经验上证明了媒体事件期间Twitter上的大量活动如何显着改变人际沟通和社交互动的潜在社会过程。由于社会技术系统中的大量人口的行为可能发生如此巨大的变化,因此我们的发现表明,有必要进一步研究社交媒体对媒体事件的反应如何用于支持集体意识,促进知情的讨论并保持弹性。面对错误的信息。 ©2014 Lin等。

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