This paper studies the problem of automatic detection of false rumors on Sina Weibo, the
popular Chinese microblogging social network. Traditional feature-based approaches …

摘要本文以新浪微博为例, 针对收集的谣言信息进行了不同角度的分析统计. 在统计分析方面,
我们研究分析了谣言的影响力及其产生与消亡的特点. 在语义分析方面, 根据不同谣言的语义 …

摘要大数据环境下, 在线社会网络与人们的生活, 娱乐以及工作逐渐融为一体. 然而“信息过载”
和“信息污染” 已成为在线社会网络诸多应用发展面临的主要瓶颈之一, 并同时造成了用户的“ …

[Objective] This paper builds an automated detection model to effectively identify mis/dis-
information from social media, aiming to balance the speed and accuracy of processing …

Microblogs are a popular way for users to communicate and have recently caught the
attention of researchers in the natural language processing (NLP) field. However, regardless …

On April 14, 2016, the devastating earthquakes, including a magnitude 7.0 mainshock,
struck the Kumamoto prefecture of Japan. Prior to this, the Great East Japan Earthquake …

Abstract The 2011 Great East Japan Earthquake and 2016 Kumamoto earthquakes had a
great impact on numerous people all over the world. In this paper, we focus on social media …