| Data journalism is a form of reporting that visualizes the contents by taking big data as its core,based on the collection,integration,mining and analysis of data.This essay takes the data journalism published by Xinhuanet "Data News" and The Guardian "Data Blog" as research objects.It focuses on studying the differences between Chinese and foreign data news practices.To explore the differences in content selection,data processing and visualization in the process of data mining and collation through the content case analysis method and comparative research method.Based on the comparative analysis about the development of Xinhuanet "Data News" to analyze the shortcomings and plateau of the domestic data journalism.Taking the "Guardian" as the reference to provide an achievable path for improving the domestic data journalism practices.This article is divided into six parts.The preface of the first part elaborates the research background and research significance of data journalism,and reviews the research status of data journalism in the fields of visualization,disciplinary education,related theory,communication effects,and development models.The second part is an overview of data journalism theory.It briefly explains the concepts,characteristics,and values of data journalism.The third part compares the content and form of Xinhuanet "Data News" and The Guardian "Data Blog".All data news reports in the two columns from September 1,2018 to August 31,2019 are selected for research Samples(268 articles from Xinhuanet and 95 articles from the Guardian)compare and analyze the differences in production links,report content,visual presentation and interaction methods.The fourth part compares Xinhuanet "Data News" and The Guardian "Data Blog" topic selections.It selects three types of topics,including politics,disaster,and health,and compares them from the perspective of data sources,reporting methods,and visualization forms.Case analysis.Through comparison,it is found that although Xinhuanet "Data News" has an advantage in the number of reports,its content is relatively shallow.The Guardian has paid more attention to in-depth reporting,and regards in-depth reporting as the futuretrend of data journalism.Visualization and interaction methods are mostly static maps,which are relatively monotonous and lack reader interaction.The Guardian focuses on using dynamic interaction maps to enhance reader participation.In terms of topic selection and data source,Xinhuanet focuses on domestic social and livelihood topic selection.Most of the data sources are government agencies.The Guardian has a more global perspective and a higher degree of data openness.The fifth part analyzes the causes of the differences between Xinhuanet "Data News" and The Guardian "Data Blog".This article believes that there are some differences between the two in the above aspects,which are caused by the two parties' reporting ideas,data openness,data processing tools and there are differences in professional staffing and other aspects.The sixth part of the enlightenment of the comparison between Xinhuanet "Data News" and The Guardian "Data Blog" aims to explain the future development direction of domestic data news production represented by Xinhuanet.In the big data era,using "data storytelling" and "visual presentation" seems to be more preferred to the audience,and it must be the tread of future development of news.According to these,Xinhuanet "Data News" channel will need to continue to expand the depth of topic selection,enrich data sources,improve audience participation and interaction to set a new benchmark for the development of the domestic data journalism industry and provide a reference value for the peers. |
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