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首页> 外文会议>Information Technology: New Generations (ITNG), 2012 Ninth International Conference on >Sharing in Social News Websites: Examining the Influence of News Attributes and News Sharers
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Sharing in Social News Websites: Examining the Influence of News Attributes and News Sharers

机译：社交新闻网站中的共享：检查新闻属性和新闻共享者的影响

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摘要

Social news websites (e.g. Digg, Reddit) have become a new and influential global phenomenon. Such websites present opportunities for individuals to participate in news creation and diffusion and thus have fundamentally transformed the ways people consume and share news. Yet, despite the popularity of these websites, factors influencing news sharing are not well documented. Hence, the objective of this study is to understand the determinants of news sharing in social news websites by examining the influence of news attributes as well as news sharers. A sample of 552 news stories was collected from a well-known and established social news website. Regression analysis was employed to analyze the data. Results indicated that in terms of news attributes, both the salience of news content and types of news were significant predictors of news sharing in social news websites. Specifically, news stories attracting more comments from users were more likely to be shared. We also found that soft news (e.g. sports and entertainment) were more frequently shared than hard news (e.g. politics and business). Contrary to expectations, the influence of news sharers did not significantly impact the extent of news sharing. The implications of the findings and directions for future research are discussed.
机译：社交新闻网站（例如Digg，Reddit）已成为一种新的有影响力的全球现象。这样的网站为个人提供了参与新闻创作和传播的机会，因此从根本上改变了人们消费和分享新闻的方式。然而，尽管这些网站很受欢迎，但是影响新闻共享的因素却没有得到很好的记录。因此，本研究的目的是通过检查新闻属性以及新闻共享者的影响来了解社交新闻网站中新闻共享的决定因素。从一个知名且已建立的社交新闻网站中收集了552个新闻故事的样本。使用回归分析来分析数据。结果表明，就新闻属性而言，新闻内容的显着性和新闻类型都是社交新闻网站中新闻共享的重要预测指标。具体而言，吸引用户更多评论的新闻故事更有可能被分享。我们还发现，软新闻（例如体育和娱乐）比硬新闻（例如政治和商业）更常被共享。与期望相反，新闻共享者的影响并未显着影响新闻共享的程度。讨论了研究结果的含义和未来研究的方向。

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