| With the vigorous development of big data technology and smart terminals,data journalism has emerged.Data journalism not only innovates the way information is expressed,but also allows audiences to understand the news more clearly.In recent years,Xinhua News Agency and other domestic media have launched their own "numerical theory" columns,and data journalism has quickly become a hot topic in academic circles and the industry.Therefore,the study of financial data journalism is of great significance to the development of data journalism theory and practice.The dissertation takes "DT Finance" as the research object and frame theory as the starting point.It mainly studies the "DT Finance" data news production dilemma and its optimization path.The thesis is organized around three levels: First,how is the framework for studying "DT Finance" data journalism structured? The second is to analyze the effect of "DT Finance" data news dissemination? The third is to explore how to optimize the production of "DT Finance" data news?.The paper obtains 9 analysis indicators for frame analysis through literature review,and adds 2 analysis indicators such as "visual presentation" and "diversity" around the characteristics of data journalism.The thesis divides the above-mentioned indicators from four dimensions: macro-level news frame,meso-level news frame,micro-level news frame,and news dissemination effect,so as to construct a category list for content analysis.The paper collected and sorted 400 news texts by constructing monthly sampling,and carried out coding and statistical analysis according to the "DT Finance" data news frame coding table.The study found that,at a macro level,the total amount of "DT Finance" data news is small,the text is long,and the news releases are regular;at the meso level,the "DT Finance" data news focuses on economic livelihood topics,Its data usage tends to be commercialized and consumerism-oriented;at a micro level,its data news reporting is more neutral,its visualization is mainly static charts,and its interaction is slightly insufficient.The dissertation takes the effect of news dissemination as a variable and analyzes the dilemma faced by DT Finance's data journalism production.Its main manifestationsare as follows: First,there is a shortage of news production teams on production factors and a lack of first-hand professional data.The second is the utilitarian selection of news report topics on content presentation,and the lack of ability to deal with sudden reports.Thirdly,the form of application in visual communication is relatively single,and the advantages of mobile communication are not used.The thesis proposes to optimize the data journalism production of "DT Finance" from three aspects: First,we must strengthen the construction of a new type of data journalism team in the media and give full play to the advantages of crowdsourcing to establish our own database.The second is to highlight the newsliness of financial data journalism and improve the professionalism of data analysis.The third is to increase the interactivity of data journalism works and strengthen the connection between data analysis and visualization. |
PDF Full Text Request