科技传播
科技傳播
과기전파
PUBLIC COMMUNICATION OF SCIENCE & TECHNOLOGY
2014年
20期
89-89
,共1页
大数据%数据新闻%信息处理%理论与实证研究%新闻与传播学
大數據%數據新聞%信息處理%理論與實證研究%新聞與傳播學
대수거%수거신문%신식처리%이론여실증연구%신문여전파학
Big data%Data Journalism%Information Processing%Theoretical and Practical Studies%Journalism and Communication
麦肯锡关于大数据对各行业潜力预测已让众媒体聚焦,高德纳的显性技术热度周期图对新闻与传播学同样富有启迪意味。业界代表人物Lorenz和Bradshaw关于数据新闻制作过程的观点与业界当前的数据新闻实践,让数据新闻展现出诱人的想象空间与乐观前景。河北大学博士“大数据”课程的针对性实践发现:数据新闻的制作过程有规律可循,犹如传统新闻写作中的“金字塔”模式。笔者将其归纳为:新闻主题发现、该主题相关数据抓取、清洗过滤、分析挖掘、交互化设计、可视化呈现、故事化讲述,其核心是数据处理、交互性设计与可视化呈现。讨论与梳理业界所做的数据新闻实践,发现数据新闻带给传统新闻传播多方面影响,引出了一些重要的理论思考,譬如:大数据环境下数据新闻提升新闻的交互性能与传播效果、延展了新闻的时空维度,深度挖掘新闻所呈现的关系、提高新闻“有向路径传播”的精准性、促使新闻在宏观叙事与微观叙事等传播层次的融会贯通、促进大数据研究方法在新闻传播学中的应用等。
麥肯錫關于大數據對各行業潛力預測已讓衆媒體聚焦,高德納的顯性技術熱度週期圖對新聞與傳播學同樣富有啟迪意味。業界代錶人物Lorenz和Bradshaw關于數據新聞製作過程的觀點與業界噹前的數據新聞實踐,讓數據新聞展現齣誘人的想象空間與樂觀前景。河北大學博士“大數據”課程的針對性實踐髮現:數據新聞的製作過程有規律可循,猶如傳統新聞寫作中的“金字塔”模式。筆者將其歸納為:新聞主題髮現、該主題相關數據抓取、清洗過濾、分析挖掘、交互化設計、可視化呈現、故事化講述,其覈心是數據處理、交互性設計與可視化呈現。討論與梳理業界所做的數據新聞實踐,髮現數據新聞帶給傳統新聞傳播多方麵影響,引齣瞭一些重要的理論思攷,譬如:大數據環境下數據新聞提升新聞的交互性能與傳播效果、延展瞭新聞的時空維度,深度挖掘新聞所呈現的關繫、提高新聞“有嚮路徑傳播”的精準性、促使新聞在宏觀敘事與微觀敘事等傳播層次的融會貫通、促進大數據研究方法在新聞傳播學中的應用等。
맥긍석관우대수거대각행업잠력예측이양음매체취초,고덕납적현성기술열도주기도대신문여전파학동양부유계적의미。업계대표인물Lorenz화Bradshaw관우수거신문제작과정적관점여업계당전적수거신문실천,양수거신문전현출유인적상상공간여악관전경。하북대학박사“대수거”과정적침대성실천발현:수거신문적제작과정유규률가순,유여전통신문사작중적“금자탑”모식。필자장기귀납위:신문주제발현、해주제상관수거조취、청세과려、분석알굴、교호화설계、가시화정현、고사화강술,기핵심시수거처리、교호성설계여가시화정현。토론여소리업계소주적수거신문실천,발현수거신문대급전통신문전파다방면영향,인출료일사중요적이론사고,비여:대수거배경하수거신문제승신문적교호성능여전파효과、연전료신문적시공유도,심도알굴신문소정현적관계、제고신문“유향로경전파”적정준성、촉사신문재굉관서사여미관서사등전파층차적융회관통、촉진대수거연구방법재신문전파학중적응용등。
Multi-media have been focused to the prediction of “Big Data value potential”, which is from McKinsey. The predicted picture of “Emerging Technologies of Hype Cycle 2012”,which is from Garter leads much enlightenment to journalism and communication field. It emerges huge imaging space and optimistic prospect based on the views of Lorenz and Bradshaw about the making process about data journalism and the media practice. The authors find that the making process of data journalism has its inherent laws, as if the “pyramid” model used in traditional news writing, through the targeted practice from big data course for doctor of HBU. Then the authors sum up the making process of data journalism: journalism subject selection, related data acquiring, cleaning and fi lter, analyzing and dining, interactive design, visualizing assuming, story narrating. The core of data journalism making process is data processing, interactive design, visualize assuming and story narrating. The authors find much influence to data journalism. Discussion and combing the media practice of data journalism, the authors find the data journalism to bring the traditional journalism multifaceted impact, raise some important theoretical considerations, such as: Big Data environments enhance the interactions of the news and dissemination of results, extend the news space-time dimensions, the depth of excavation news presented relations, enhance news spread to the special path precision, prompt news narrative mastery at the macro and micro levels of the narrative, such as the spread of promoting application of big data research methods in journalism and communication subject and so on.