作为新媒体的代表，微博正在人们的生活中扮演着越来越重要的角色。微博加速了人们传播即时信息的速度，但也在同时降低了谣言和不实信息传播的成本。因此，微博中的信息可信度问题值得我们的重视。本文通过回顾前人有关社交媒体可信度的研究，归纳出人们在评判信息可信度时的六个特点，进而提出了初步的微博信息可信度评判模型。以“微博信息可信度评判过程”为主题，研究人员进行了30人的焦点小组访谈，确认了初步模型中的假设，得到了影响微博信息可信度的三个因素（信息源作者、信息源内容和信息传播）和七个子因素（个人真实性、领域权威性、公众影响力、合理程度、叙述措辞、传播作者可信度、传播内容可信度），对初步模型进行了修正。以“测量影响因素与可信度关系”为目标，研究人员进一步对262人进行了调查问卷研究，得到了人们对于微博整体可信度的态度、新闻类和健康类微博与三个因素和七个子因素的关系、子因素与各指标间的关系，丰富了微博信息可信度的评判模型。最后，研究人员设计并开发了一款基于Chrome浏览器的微博可信度可视化工具。该工具利用了新浪微博开放平台的接口，经过数据抓取、数据处理、数据可视化和浏览器注入四个步骤，从微博传播网络和时间轴两个方面提供给人们可信度线索。20人的实验结果表明，使用可信度可视化工具在显著提高用户对新闻类微博信息可信度判断的同时，也提高了用户评判微博信息的信心。

As one representative of new media, Weibo has been playing a more and more important role in people’s daily life. Whilst it speeds up the spreading of real-time information, it also reduces the spreading costs of rumors and untrue information. Therefore, the information credibility problem in Weibo deserves growing concerns. With an overall analysis of previous studies on the topic of information credibility in social media, this paper summarized six characteristics and proposed a preliminary model of how people assess information credibility in Weibo. To investigate the process through which people make credibility judgments, a focus group study consisting of 30 participants was performed. The results confirmed several assumptions in the preliminary model, as well as yielded three influencing factors (original author, original text, spreading network) and seven influencing sub-factors (authencity, authority, influence, reasonableness, wording, repost author credibility, and repost text credibility). Details of the modified model were then enriched with the result from a survery of 262 participants in regards to the overall information credibility in Weibo, the relationship between news or health information credibility and three factors and seven sub-factors, and the relationship between each factor and its sub-features. Last, a visualization tool to help people better assess information credibility in Weibo was designed and developed as a plug-in for the Chrome browser. It utilized the open API from Sina Weibo and visualized credibility clues from two aspects, the spreading network and the timeline. The data was retrieved, processed, visualized and injected into the browser. With a laboratory experiment of 20 subjects, the tool was tested to significantly improve people’s credibility assessment and the confidence when making the judgement.