论文标题

发现内容和与内容的参与

Discovery of the Content and Engagement with the Content

论文作者

Agarwal, Pushkal, Sastry, Nishanth, Wood, Edward

论文摘要

在20世纪下半叶,议会允许广播公司传播广播,并最终对选定委员会的辩论和会议进行电视报道。最近,为了进一步提高透明度和公民参与,英国议会开始发布这些辩论和会议本身的视频,并在发生辩论的细节上发布了辩论的细节。在本文中,我们试图通过使用超过两年的Google Analytics(分析)数据来表征人们如何与议会辩论的视频数据互动。我们分析参与模式 - 它们如何降落在特定视频上?他们如何听到此视频,即导致用户单击视频的(HTTP)推荐程序网站是什么?一旦用户登陆视频,他们如何互动?视频播放了多长时间?下一个目的地是什么?等等。回答这些问题是了解人们为什么以及如何使用议会视频的重要第一步,因此,应如何适应和个性化视频传递平台,以满足该国公民的需求。从An,Kwak和Jansen(2017)汲取灵感,我们在视频视图矩阵上采用了非负矩阵分解(NMF)(Lee and Seung,1999)来识别用户的不同原型,并识别原型。对原型的深入研究表明,它们主要是通过如何降落在视频页面上的方式:搜索(即通过搜索引擎),推荐(即,来自其他议会网站),直接(即,通过直接链接)(即通过另一个网站上的直接链接),嵌入在另一个网站上),社交(即通过一个社交平台或其他Facebook)和其他Facebook和其他。

In the second half of the 20th century, Parliament allowed broadcasters to transmit radio and eventually television coverage of debates and meetings of select committees. More recently, in an effort to further improve transparency and citizen engagement, the UK Parliament started publishing videos of these debates and meetings itself, and tweeting details of debates as they happened. In this paper, we attempt to characterise how people engage with video data of Parliamentary debates by using more than two years of Google Analytics data around these videos. We analyse the patterns of engagement - how do they land on a particular video? How do they hear about this video, i.e., what is the (HTTP) referrer website that led to the user clicking on the video? Once a user lands on a video, how do they engage with it? For how long is the video played? What is the next destination? etc. Answering these questions is an important first step towards understanding why and how people use Parliamentary videos, and therefore, how the video delivery platform should be adapted and personalised for the needs of the citizens of the country. Taking inspiration from An, Kwak, and Jansen (2017), we employ Non-Negative Matrix Factorization (NMF) (Lee and Seung, 1999) on the video views matrix to identify different archetypes of users, and identify archetypes. A deeper examination of the archetypes we find reveals that they are primarily distinguished by how they land on the video page: Search (i.e., through a search engine), Referral (i.e., from other Parliamentary websites), Direct (i.e., through a direct link, which is embedded on another website), Social (i.e., through a social platform such as Facebook or Twitter) and Others.

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