L Yang, M Zhao, S Y Zhao, W X Xiao, P X Cheng, G Q Hu
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引用次数: 0
Abstract
Objective: To summarize the progress in the research of textual quality evaluation of health-related media reports. Methods: A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted. Results: A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods. Conclusions: No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.
目的：综述健康相关媒体报道文本质量评价的研究进展。方法：系统检索PubMed、Web of Science、Embase、万方数据库和中国国家知识基础设施数据库中与健康相关的媒体报道文本质量评价相关的文献。提取纳入论文的文本质量定义、评价维度、指标和方法等信息。结果：本分析共纳入29篇研究论文，其中26篇为与健康相关的媒体报道的回顾性文本质量评价，3篇为与健康相关的媒体报道的文本质量评价模型或工具开发。新闻报道的主题包括：16项关于伤害的研究、3项关于一般健康的研究、3项关于传染病的研究、3项关于癌症筛查和治疗的研究、3项关于慢性非传染性疾病的研究和1项关于药物风险的研究。与健康相关的媒体报道的文本质量的定义和质量评价的维度在不同的研究中有所不同。媒体报道质量评价指标可分为三类：监控信息的可得性、专业信息的可得性、媒体报道原则的坚守性。大多数研究采用人工进行质量评价，只有2项研究采用半自动或自动化评价方法。结论：没有统一的定义、维度集、指标或自动化算法来评估与健康相关的媒体报道的文本质量，这限制了对大量新闻数据的有效评估。基于新闻传播理论、信息流行病学、深度学习、自然语言处理、文本挖掘以及特定疾病和伤害预防理论，对健康相关媒体报道的文本质量评价进行方法学研究是必要的。
期刊介绍：
Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.
The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.
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