中文摘要：

简述微博信息可信度研究的背景和意义，并对微博信息可信度分析等相关概念进行界定；对微博信息可信度的研究成果进行梳理，指出这些研究的不足，并认为微博信息可信度分析的关键问题是微博信息特征的提取和可信度分析方法的设计；结合微博信息的特点及已有研究成果，指出微博信息可信度分析的核心技术包括自然语言处理、社会网络分析、机器学习与数据挖掘等；最后总结全文，对微博信息可信度分析的未来发展方向进行展望，为进一步研究提供参考。

英文摘要：

This paper introduces the background and significance of information credibility research on nlicroblng, and gives relevant definitions on it. Then it summarizes the related achievements and concludes tile existing drawbacks. It further proposes that the key problems to evaluate information credibility on microblog include the feature extraction in microblog and design of credibility analysis methods. Based on mieroblog＇ s feature and current research achievements, this paper concludes that the key technologies of information credibility analysis on microblog involve natural language processing, social network analyzing, machine learning and data mining. With a sununarization, it finally looks to the future development, to make references for further research.