什么影响人们开阔视野?

Kota Kakiuchi, Mao Nishiguchi, F. Toriumi, Masanori Takano, Kazuya Wada, Ichiro Fukuda
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引用次数: 3

摘要

当有大量的媒体内容可用时,个性化(包括自我选择和预先选择)是不可避免的。个性化被认为会鼓励人们消费更少的多样化内容,但这会导致社会的分裂和两极分化,因此让人们接触更多样化的内容非常重要。本文利用网络电视数据,探讨了行为特征和环境特征对用户消费更多样化内容的影响。我们通过建立一个分类模型来解决这个问题,该模型预测用户是否会消费由更多样化的来源和特征组成的内容。我们使用之前工作中的方法来衡量用户消费内容多样性的变化,并在我们的基础研究和之前的研究的基础上设计了六个特征。实验结果表明,我们的模型能够较准确地预测用户消费内容多样性的变化,这意味着我们的六个特征很好地解释了用户消费内容多样性的增加。我们对该模型的分析表明,消费多种类型的内容以及无意中接触各种内容对用户产生了积极影响,并鼓励他们拓宽视野。前者的影响力尤其大。此外,我们还证明了用户的主动寻找行为和他们最感兴趣领域的内容数量对他们消费内容多样性的增加产生了负面影响。我们的研究结果有望应用于网络媒体,以缓和选择性曝光的影响,减少社会的碎片化和两极分化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Influences People to Broaden Their Horizons?
Personalization, including both self-selected and pre-selected, is inevitable when tremendous amounts of media content are available. Since personalization, which is believed to encourage people to consume fewer diverse contents, can lead to fragmentation and polarization in society, exposing people to more diverse contents is important. In this paper, we investigate using web TV data what behavioral and environmental features influence users to consume more diverse contents. We tackle this problem by building a classification model that predicts whether users will consume contents that are comprised of more diverse sources and features. We measure the change of the consumed content diversity of users with the method in our previous work and design six features based on our basic research and previous studies. The result of our experiment shows that our model predicts with high accuracy the change of the consumed content diversity of users, which means that the increase of the diversity of the consumed content of users is explained well with our six features. Our analysis of the model shows that consuming contents across multiple genres and inadvertent exposure to various contents positively affect users and encourage them broaden their horizons. The former has especially strong influence. In addition, we demonstrate that active-seeking behaviors of users and the amount of content in their most interested areas negatively affect the increase of their consumed content diversity. Our findings in this study are expected to be applied to web media to moderate the effect of selective exposure and reduce fragmentation and polarization in society.
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