The Construction Of Data Journalism Objectivity

As one of the core concepts of journalism,objectivity is the working criterion of journalists,which requires objective,fair,comprehensive,and accurate reporting of facts.In the era of big data,the value of data has become increasingly prominent,and content production based on data resources has become the norm.In this context,new changes have taken place in news reporting models and production concepts.As a product of the reform of the journalism industry,data journalism is based on data processing,analysis and visualization to give new value to news reports and provide audiences with a brand-new reading experience.It is a new trend in the development of journalism in the future.At the same time,driven by both market logic and technological logic,the media ecological environment has undergone tremendous changes.Data journalism uses data as the core means of production and uses data analysis results to make factual statements.It is a scientific and objective news report,which is of great significance to adhere to the objectivity of news.Therefore,based on the current media ecological environment,this article uses the theoretical framework of news objectivity as the research idea,combined with the production process of data journalism,and attempts to explore the construction path of data journalism objectivity and the interference factors in the construction process,and based on the research results Propose effective strategies for data journalism to lead value.This research is based on the theoretical framework of news objectivity proposed by Weststock and compiled by McGuire,with the help of content analysis and participatory observation methods,and 603 data news works of The Paper "Mathematics Lesson" as the research object.With reference to the author’s one-year participatory observation record on the WeChat public account "Shuyun",the content analysis of the construction of the objectivity of data journalism is carried out from the five specific aspects of truth,relevance,information enrichment,neutrality and balance.The study found that at the authentic level,relying on authoritative data sources to ensure the authenticity of information;in terms of relevance,it is constructed around news topics,and from the perspective of audience needs,it promotes the interaction between the media agenda and the audience’s agenda;at the level of information enrichment,Use visual presentation methods to complement the completeness of information in order to increase the audience’s chances of obtaining information;at a neutral level,data-based factual descriptions or explanatory reports are used,and the reporting stance is objective and neutral,without emotional bias;in In terms of balance,broaden the number of data sources,maintain report balance,and enrich report perspectives.Research believes that the production processes of the two data news columns conform to the requirements of news objectivity and follow the reporting principles of truthfulness,accuracy,fairness and balance in traditional news.However,the interaction of multiple factors such as social transformation,media market competition,new media audience characteristics,and technological advantages has contributed to the problems of emotional expression,visual rhetoric,and data applications in the process of data news reporting.Therefore,data journalists should be aware of the existence of the problem,guide journalism practice based on journalistic professionalism,continuously improve data literacy and professional capabilities,and be a leader in the value of journalism in the new era.