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数据新闻是“数据驱动新闻”的简称,特指在大数据背景下,从海量信息中汲取最有价值的新闻,并通过分析、整稿和技术处理将其编辑成可视化的新闻节目。然而,基于大数据背景,数据新闻的客观性也面临着不容忽视的挑战,对此,新闻工作者理应确保新闻的真实性,做好新闻采编工作,坚持与时俱进思想,不断完善新闻结构,全面提高新闻质量。本文将举例分析数据新闻客观性面临的挑战及对策,并提出个人见解。
Data News is short for “Data Driven News,” referring specifically to drawing the most valuable news from massive information in the context of big data and editing it into news visuals through analysis, full-text and technical processing. However, based on the background of big data, the objectivity of data news also faces challenges that can not be ignored. In this regard, journalists should ensure the authenticity of the news, make news compilation and editing work, keep pace with the times and constantly improve the news structure , Comprehensively improve the quality of news. This article will give an example to analyze the challenges and countermeasures that data news objectivity faces and put forward personal opinions.