多媒体社会事件分析综述

Survey of Multimedia Social Events Analysis

由于网络技术的飞速发展,自媒体、微博、论坛等基于互联网的多种交流渠道日渐完善,人们能够方便地在线生成和共享丰富的社会多媒体内容。社会事件数据具有跨平台、多模态、大规模、噪声大等特点,基于多媒体社会事件的分析研究非常具有挑战性。因此,如何对社会媒体数据进行处理,研究社会事件分析方法、设计有效的社会事件分析模型成为社会事件分析研究的关键问题。文中对近年来多媒体社会事件分析的相关研究展开了综述,重点回顾了多媒体社会事件表示方法及其在虚假新闻检测、多媒体热点事件检测跟踪及演化分析、社交媒体危机事件响应等领域的应用,并对不同应用涉及的数据集进行了详细介绍。最后对多媒体社会事件分析方面未来可能的研究课题进行了展望。

With the rapid development of network technology,various Internet-based communication channels,such as self-media,Weibo,BBS,are becoming perfect platforms for people to easily generate and share rich social multimedia content online.Social event data have the characteristics of multi-platform,multi-modal,large-scale and high noise,which bring huge challenges for the analysis and research based on multimedia social events.Therefore,how to process social media data,study social event analysis methods,and design effective social event analysis models become key issues in social event analysis research.This paper presents a review of relevant research in multimedia social event analysis in recent years,focusing on multimedia social event representation methods and their applications in the fields of fake news detection,multimedia hot event detection,tracking and evolution analysis,as well as social media crisis event response.In addition,the datasets involved in different applications are introduced in detail.In the last section,this paper discusses possible future research topics in multimedia social event analysis.