RumorLens：社交媒体上疑似谣言的互动分析和验证
RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media
摘要：
随着社交媒体的发展，各种谣言可以很容易地在互联网上传播，这些谣言可以对社会产生严重的负面影响。因此，社交媒体平台处理疑似谣言已成为一项重要任务。然而，由于缺乏有效的工具，平台管理员通常难以有效地从社交媒体平台上的大量信息中分析和验证谣言。我们与社交媒体平台管理者进行了四个月的密切合作，总结了他们识别和分析谣言的需求，并进一步提出了一个交互式可视化分析系统RumorLens，以帮助他们高效地处理谣言，并深入了解谣言传播的模式。RumorLens将自然语言处理（NLP）等数据处理技术与可视化技术相结合，方便对疑似谣言进行交互式分析和验证。我们提出了一种协调的可视化方法，为用户提供三个层次的可疑谣言细节：概述显示可疑谣言的空间分布和时间演变;投影视图利用基于隐喻的映射来表示每个可疑谣言，并进一步使用户能够快速了解它们的整体特征和彼此之间的相似性;传播视图采用新颖的圆形可视化设计，将疑似谣言的动态传播细节可视化，便于以紧凑的方式进行谣言的交互式分析和验证。通过使用从新浪微博收集的真实世界数据集，与领域专家进行案例研究，以评估
英文摘要：
With the development of social media, various rumors can be easily spread on the Internet and such rumors can have serious negative effects on society. Thus, it has become a critical task for social media platforms to deal with suspected rumors. However, due to the lack of effective tools, it is often difficult for platform administrators to analyze and validate rumors from a large volume of information on a social media platform efficiently. We have worked closely with social media platform administrators for four months to summarize their requirements of identifying and analyzing rumors, and further proposed an interactive visual analytics system, RumorLens, to help them deal with the rumor efficiently and gain an in-depth understanding of the patterns of rumor spreading. RumorLens integrates natural language processing (NLP) and other data processing techniques with visualization techniques to facilitate interactive analysis and validation of suspected rumors. We propose well-coordinated visualizations to provide users with three levels of details of suspected rumors: an overview displays both spatial distribution and temporal evolution of suspected rumors; a projection view leverages a metaphor-based glyph to represent each suspected rumor and further enable users to gain a quick understanding of their overall characteristics and similarity with each other; a propagation view visualizes the dynamic spreading details of a suspected rumor with a novel circular visualization design, and facilitates interactive analysis and validation of rumors in a compact manner. By using a real-world dataset collected from Sina Weibo, one case study with a domain expert is conducted to evaluate
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。
