False information dissemination from the perspective of computing:content,subject and pattern
摘要:
虚假信息的传播在政治、经济等多个领域影响着社会正常运作.深入理解虚假信息的传播机制并遏制其传播是传播学、政治学、计算机科学等多个学科领域的共同研究目标.基于社会化媒体对于虚假信息内容及传播踪迹的记录,以及信息传播相关计算算法的广泛采用,传播学在当前阶段得以对虚假信息传播进行经验性深入探讨.基于此,将从虚假信息内容特征、传播者用户特征和虚假信息传播模式3个角度系统综述计算方法对于虚假信息传播研究的推进,探讨未来可行的跨学科合作模式.
The spread of false information affects the normal operation of society in many fields such as politics and economy.It is a common research goal of communication,political,computer science and other disciplines to deeply understand the communication mechanism of false information and curb its spread.Based on the record of false information content and digital trace by social media,as well as the wide adoption of computing algorithms related to information spreading,communication is able to conduct an empirical and in-depth discussion of false information spreading at the current stage.Based on this,this study will systematically review the advancement of computing methods in the study of false information spreading from the perspectives of false information content characteristics,communicator characteristics and dissemination patterns of false information,and explore the feasible interdisciplinary cooperation mode in the future.
作者:
吴晔 李永宁 张伦
Wu Ye;Li Yongning;Zhang Lun(School of Journalism and Communication,Beijing Normal University,Beijing100875,China;School of Arts& Communication,Beijing Normal University,Beijing100875,China)
机构地区:
北京师范大学新闻传播学院 北京师范大学艺术与传媒学院
出处:
《betway官方app 学报:自然科学版》 CAS 北大核心 2019年第2期29-35,共7页
基金:
国家自然科学基金重点项目(71731002) 中央高校基本科研业务费专项资金资助项目 教育部人文社会科学研究一般项目(18YJC860050)
关键词:
虚假信息 计算方法 内容特征 用户画像 传播模式
false information calculation method content features user portrait dissemination-pattern
分类号:
G206.3 [文化科学—传播学]