数据新闻可视化信息误导分析框架与误导方式  

The Misleading Analysis Framework and Misleading Methods of Data Visualization in Data Journalism

作　　者：郝珊 魏修治 Hao Shan;Wei Xiuzhi(Shanghai Academy of Fine Arts,Shanghai University,Shanghai 200444;School of Language Culture and Media,Hefei University,Hefei 230601)

机构地区：[1]上海大学上海美术学院,上海200444 [2]合肥大学语言文化与传媒学院,合肥230601

出　　处：《情报杂志》2024年第6期177-184,共8页Journal of Intelligence

基　　金：国家留学基金委资助艺术类人才培养特别项目(编号:CSC202006890038);安徽省哲学社会科学规划项目“突发公共卫生事件中网络谣言的治理研究”(编号:AHSKQ2022D019)研究成果。

摘　　要：[研究目的]近年来数据新闻可视化信息误导频发,带来新闻与信息安全问题和治理压力。研究分析数据新闻可视化信息误导的框架并识别误导方式,能为核查与防范误导以及培养数字素养提供参考与启示。[研究方法]通过梳理整合相关领域可视化信息误导文献,并结合近年错误案例,构建理论分析框架并整理具体误导方式。[研究结论]借鉴可视分析框架与数据新闻生产消费流程,搭建数据采集分析、可视化设计、叙事编辑、图文排版及阅读消费5阶段组成的数据新闻可视化误导分析管道。其后根据设计实践流程细分11个子阶段,并归纳其中73种详细的误导方式。最后从理解与修正误导、学科细分深入、认知和教育角度对未来研究进行展望。[Research purpose]In recent years,there has been a surge in misleading information in data journalism visualization,leading to challenges in news and information security and governance.Analyzing the framework of misleading information in data journalism visualization and identifying misleading methods can provide valuable insights for fact-checking,prevention of misinformation,and enhancing digital literacy.[Research method]This study involved a review and synthesis of relevant literature on visual misinformation and analysis recent erroneous cases.A theoretical analysis framework was constructed,and specific misleading methods were categorized based on this framework.[Research conclusion]Drawing from visual analysis frameworks and the data journalism production-consumption process,we developed a pipeline for analyzing misleading information in data journalism visualization,consisting of five stages:data collection analysis,visualization design,narrative editing,paper layout,and reader consumption.Subsequently,11 sub-stages were identified within the design and practice process,encompassing 73 detailed misleading methods.Finally,the study provides insights into future research from the perspectives of understanding and correcting misinformation,deepening disciplinary specialization,and cognitive education.

关 键 词：数据新闻 数据可视化 信息安全 数据误导 信息误导 误导方式 数字素养 

分 类 号：G201[文化科学—传播学]