arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1303.4702cs.SIcs.IRphysics.soc-ph
收藏

MJ不再:使用带有社交网络可信度检查的并发维基百科编辑尖峰来检测突发新闻

MJ no more: Using Concurrent Wikipedia Edit Spikes with Social Network Plausibility Checks for Breaking News Detection

Thomas Steiner, Seth van Hooland, Ed Summers

摘要:

我们开发了一个名为Wikipedia Live Monitor的应用程序,可以实时监控维基百科不同语言版本上的文章编辑。不同语言的维基百科条目是高度相关的。例如,关于2月15日在俄罗斯车里雅宾斯克州上空爆炸的流星体的英文文章en:2013_Russian_meteor_event与关于同一主题的俄文文章相互链接。当我们并行监控维基百科的多个语言版本时,我们可以利用这一事实来检测覆盖相同主题的维基百科文章的并发编辑峰值,无论是在一种语言中,还是在不同的语言中。我们将这种并发编辑峰值视为潜在突发新闻事件的信号,然后我们在多个社交网络上进行全文跨语言搜索来检查其可解释性。与监视社交网络第一,并可能在维基百科上检查可扩展性的反向方法不同,本文提出的方法具有不太容易出现假阳性警报的优点,同时对真阳性事件同样敏感,然而,处理成本只有一小部分。

英文摘要:

We have developed an application called Wikipedia Live Monitor that monitors article edits on different language versions of Wikipedia, as they happen in realtime. Wikipedia articles in different languages are highly interlinked. For example, the English article en:2013_Russian_meteor_event on the topic of the February 15 meteoroid that exploded over the region of Chelyabinsk Oblast, Russia, is interlinked with the Russian article on the same topic. As we monitor multiple language versions of Wikipedia in parallel, we can exploit this fact to detect concurrent edit spikes of Wikipedia articles covering the same topics, both in only one, and in different languages. We treat such concurrent edit spikes as signals for potential breaking news events, whose plausibility we then check with full-text cross-language searches on multiple social networks. Unlike the reverse approach of monitoring social networks first, and potentially checking plausibility on Wikipedia second, the approach proposed in this paper has the advantage of being less prone to false-positive alerts, while being equally sensitive to true-positive events, however, at only a fraction of the processing cost.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑