首页> 外文期刊>Computers in Human Behavior >From incidental news exposure to news engagement. How perceptions of the news post and news usage patterns influence engagement with news articles encountered on Facebook
【24h】

From incidental news exposure to news engagement. How perceptions of the news post and news usage patterns influence engagement with news articles encountered on Facebook

机译:从偶然新闻曝光到新闻参与。对新闻发布和新闻使用方式的看法如何影响与在Facebook上遇到的新闻报道的互动

获取原文
获取原文并翻译 | 示例
           

摘要

On social network sites (SNS), people are increasingly confronted with news content even if they have not actively been looking for it. Although it is widely recognized that SNS have become a main driver for such incidental news exposure, we know little about the factors that influence whether users engage with news encountered on SNS. Thus, this study investigates under which conditions incidental news exposure becomes actual engagement with news by asking how both the perception of the news post and general news usage patterns influence the intention to read news articles encountered on SNS as well as the intention to look for further information about the covered issues. Building on a mobile forced experience sampling study consisting of 840 Facebook news encounters reported from 124 participants, we find that news engagement is mostly determined by participants' perceived interestingness of and prior knowledge about the issue of the news post and to a much lesser degree by social factors unique to SNS (i.e., feelings towards the spreader of the news). In contrast, no influence of content-independent news usage patterns on news engagement could be observed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在社交网站(SNS)上,即使人们没有积极寻找新闻内容,他们也越来越面临新闻内容。尽管众所周知,SNS已成为此类偶然新闻曝光的主要驱动力,但我们几乎不了解影响用户是否参与SNS上遇到的新闻的因素。因此,本研究通过询问新闻帖子的感知和一般新闻使用模式如何影响阅读SNS上遇到的新闻的意图以及寻找进一步寻找的意图,调查了在什么情况下偶然新闻曝光成为新闻的实际参与。有关涵盖问题的信息。在基于124位参与者的840次Facebook新闻遭遇而进行的移动强制体验抽样研究的基础上,我们发现新闻参与主要取决于参与者对新闻发布问题的感知兴趣和先前知识,而在很大程度上,这一点取决于SNS特有的社会因素(即,对新闻传播者的感受)。相反,没有观察到与内容无关的新闻使用模式对新闻参与的影响。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号