社交媒体中的短暂新闻人群Transient News Crowds in Social Media |
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课程网址: | https://videolectures.net/videos/icwsm2013_lehmann_social_media |
主讲教师: | Janette Lehmann |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2014-04-03 |
课程语种: | 英语 |
中文简介: | 用户越来越多地通过在线新闻服务了解最新消息。Twitter和Facebook等社交网络平台与新闻网站的无缝融合进一步加剧了这一点,允许人们轻松分享和分发内容。这使得在线社交网络平台对新闻供应商特别感兴趣。例如,在线新闻制作人使用Twitter传播在其网站上发表的文章,评估其内容的受欢迎程度,但也可以将其作为一个信息源来使用。在本文中,我们将Twitter作为一种媒体来帮助记者和新闻编辑快速发现他们发表的文章的后续报道。我们建议通过利用“临时新闻群”来做到这一点。临时新闻群是围绕某个特定新闻项目出现在Twitter上的松散耦合的群体,这里的临时群体反映了新闻的转瞬即逝性质。我们定义了Twitter上的临时新闻人群,研究他们的特征,并研究如何利用他们的特征来发现相关新闻。我们使用Twitter上关于BBC和半岛电视台发布的新闻报道的数据来验证我们的方法。 |
课程简介: | Users increasingly inform themselves of the latest news through online news services. This is further accentuated by the increasingly seamless integration of social network platforms such as Twitter and Facebook into news websites, allowing easy content sharing and distribution. This makes online social network platforms of particular interest to news providers. For instance, online news producers use Twitter to disseminate articles published on their website, to assess the popularity of their contents, but also as an information source to be used on itself. In this paper, we focus on Twitter as a medium to help journalists and news editors rapidly detect follow-up stories to the articles they publish. We propose to do so by leveraging “transient news crowds”, which are loosely-coupled groups that appear in Twitter around a particular news item, and where transient here reflects the fleeting nature of news. We define transient news crowds on Twitter, study their characteristics, and investigate how their characteristics can be used to discover related news. We validate our approach using Twitter data around news stories published by the BBC and Al Jazeera. |
关 键 词: | 在线新闻服务; 新闻网站; 新闻报道 |
课程来源: | videolectures |
数据采集: | 2025-03-23:yuhongrui |
最后编审: | 2025-03-23:yuhongrui |
阅读次数: | 3 |