Research On The The Shortlisted Works (2012-2019) Of The"Data Journalism Award (DJA)"

This article uses the "Data Journalism Award(DJA)" as the main research body.It can be considered a benchmark in the field of data journalism.This article takes a total of 598 shortlisted data journalism works from 2012 to 2019 as the research object,and uses the content analysis method and case analysis method to specifically analyze the four dimensions of source media and authors,news data sources,news visualization and audience interaction Analyze and thoroughly read some typical works,summarize the general characteristics and development trends of data journalism works,and use this as a basis to reflect on the field of data journalism.This research found that the data journalists shortlisted for the award are in terms of their production teams: the types of organizations behind the production teams are diverse,the distribution of countries in which they belong is large and convergent,small and scattered,and the production styles are also unique,including the large production team process Clear and clear division of labor,small production teams are more willing to try different styles of data journalism;news data sources: the media increasingly rely on their own data collection,geographic data has become an important data support for visualization,meanwhile the media began to explore drones,sensors,etc.Multiple data collection methods;news visual presentation: basic chart types are still the main visualization form,and data news is undergoing a change from data performance news to data-driven news;user interaction characteristics:online access to databases has become an important interactive form,news games The interaction has gradually been valued by the media.The "Data Journalism Award",as an important award in the field of data journalism,recognizes and exemplifies data journalism.Therefore,the research on the trend of this award reveals the production of data journalism and the concepts behind it.The media provide some reference in realizing digital transformation,exploringnew revenue channels and adding value to content.