A Novel Method to Gauge Audience Engagement with Televised Election Debates through Instant, Nuanced Feedback Elicitation

A Novel Method to Gauge Audience Engagement with Televised Election Debates through Instant, Nuanced Feedback Elicitation
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一种通过即时、细致的反馈来衡量观众对电视选举辩论的参与度的新方法

DOI:
10.1145/3083671.3083673
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发表时间:
2017
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通讯作者:
De Liddo A
De Liddo A
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尽管互联网和手持计算设备在媒体消费中的使用急剧增加,但电视仍然对民主公民至关重要。电视仍然是政治信息的主要来源,其相关性已在政策层面得到承认。此外,电视在技术上和观众的体验上都在不断发展。尽管如此,研究人员测量观众对电视政治事件的实时参与的方法通常限于小样本观众,并且基于狭窄的反应范围。在本文中,我们研究了电视选举辩论的观众,并提出了一种新的方法来衡量公民实时反应的丰富性和多样性,简单和可衡量的观众反馈。我们报告的纸上原型实验,在其中我们使用了一组抽认卡,以测试该方法在一个实际的电视选举辩论的情况。我们展示了如何的方法可以提高我们的理解观众的反应辩手的表演,在他们的论点的内容,并作为媒体事件的辩论。我们的结论与设计准则,以实现大规模的方法,以衡量观众参与电视选举辩论在分布式环境中,通过观众反馈网络和移动的应用程序。
Despite a steep increase in the use of the Internet and handheld computing devices for media consumption, television is still of critical importance for democratic citizenship. Television continues to be the leading source of political information and its relevance has been recognised at policy level. In addition, television keeps evolving technologically and in how it is experienced by viewers. Nonetheless, the ways researchers have measured audience engagement with televised political events in real-time is often limited to small samples of viewers and is based upon a narrow range of responses.In this paper we look at the audience of televised election debates, and propose a new method to gauge the richness and variety of citizens' real-time responses at scale by capturing nuanced, non-intrusive, simple and measurable audience feedback. We report on a paper prototype experiment, in which we used a set of flashcards to test the method in an actual televised election debate scenario. We demonstrate how the method can improve our understanding of viewer responses to the debaters' performances, to the contents in their arguments, and to the debate as media event. We conclude with design guidelines to implement the method on a mass scale in order to measure audience engagement with televised election debates in distributed contexts through audience feedback web and mobile applications.
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