南京信息工程大学学报2017，Vol.9Issue(6)：583-592,10.DOI:10.13878/j.cnki.jnuist.2017.06.003
融合多模态特征的社会多媒体谣言检测技术研究
Rumor detection on social media with multimodal feature fusion
摘要
Abstract
Social media,such as microblogs,has developed rapidly nowadays,which accelerates the information diffusion on the Internet.However,numerous false rumors fostered on social media are spreading widely on the social network and can result in serious consequences.It has become a huge concern in research and industry areas to detect rumors automatically on social media. Focused on the rumor detection task, this paper summarizes the approaches of multimodal fusion on this problem.Starting from the basic concepts,we give formal definitions of rumors and introduce the characteristics of social media.We summarize the studies on rumor detection into two major parts,i. e., extracting effective multimodal features to identify rumors and constructing robust models to detect rumors. For each of the research aspects,we give detailed introduction based on existing studies. This paper can be served as a basic guidance to build state-of-the-art rumor detection models and a reference for future researches.关键词
谣言检测/社会媒体计算/多媒体计算/深度学习/多模态特征融合/新闻认证Key words
rumor detection/social media computing/multimedia computing/deep learning/multimodal feature fusion/news verification分类
信息技术与安全科学引用本文复制引用
金志威,曹娟,王博,王蕊,张勇东..融合多模态特征的社会多媒体谣言检测技术研究[J].南京信息工程大学学报,2017,9(6):583-592,10.基金项目
国家自然科学基金(61525206) （61525206）
中国电科创新基金(16105501) （16105501）
中国电科联合基金(20166141B08020101) （20166141B08020101）
