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作 者:翟红蕾[1] 李御任 王涵 Zhai Honglei;Li Yuren;Wang Han(Wuhan University of Technology)
机构地区:[1]武汉理工大学法学与人文社会学院,湖北武汉430070
出 处:《新闻与传播评论》2024年第2期58-69,共12页Journalism & Communication Review
基 金:国家社会科学基金一般项目(20BXW029);湖北高校省级教学研究项目(2022109)。
摘 要:数据新闻是随着媒介技术的发展而出现的一种新型报道形态,自2011年以来各大媒体争相使用数据新闻报道新闻。然而,由于受众对数据新闻的类型特征、创新意义和新闻价值认知不足,导致数据新闻的社会接受度不高,严重影响了数据新闻的舆论影响力和社会效益。研究以扎根理论为基础,通过深度访谈收集数据新闻作品温度、媒体资质和网络环境等因素对受众接受行为的影响,继而对访谈资料进行开放式编码、主轴式编码和选择性编码,构建出影响数据新闻传播的理论模型。研究发现:环境因素、渠道因素、内容因素、有媒体因素和受众因素影响数据新闻的发展和传播。基于相关实证研究和理论探索,本文针对性提出打造智慧新闻平台、技术赋能新闻生产、构建信度指标体系、稳步推进信息定制等创新策略和建议,为数据新闻的持续健康发展提供有益借鉴。Data journalism is a new form of reporting that has emerged with the development of media technology.Since 2011,major media have been competing on the application of data journalism.However,the insufficient knowledge of category characteristics,innovative significance and news value towards data journalism among the audience has lead to the low social acceptance of data journalism.Poor audience base,vague audience portrait and unclear positioning of data journalism output have all severely impacted the pub-lic opinion influence and social benefits of data journalism.Based on grounded theory,this paper collects the influencing factors of audience acceptance behaviour which include the tenderness of data journalism works,media qualification and internet environment by conducting in-depth interviews,carries out open coding,axial coding and selective coding on the collected data,constructs a theoretical model on the dissemination of data journalism,and finally concludes the environmental,channel,content,media and audience factors that influ-ence the development of data journalism.Ultimately,in order to improve the audience experience of data jour-nalism,innovative strategies and suggestions such as building smart news platform,technology-enabled news production,constructing credibility index system and steadily promoting information customization are provid-ed according to the relevant empirical research and theoretical exploration,referencing for the sustainable and healthy development of data journalism.
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