科研信息化技术与应用
科研信息化技術與應用
과연신식화기술여응용
E-science Technology & Application
2014年
3期
11-18
,共8页
大数据%数据新闻%新闻生产
大數據%數據新聞%新聞生產
대수거%수거신문%신문생산
big data%data journalism%news production
大数据技术给新闻生产带来了深刻的影响,大数据技术及思维改变了传统媒介的媒介生产和操作理念,改变了新闻生产的思路和流程,突破媒体对新闻生产的垄断,通过关联物预测新闻发展,可视化和交互性图表方便同受众的互动。大数据时代的新闻从业者不仅要有大数据思维,还要擅于跨界合作,数据驱动新闻强调“数字优先”、增强新闻可视化效果,但基于大数据技术的新闻生产也面临着数据可信度、网络数据新闻的代表性问题等难题和唯数据的倾向,非结构化数据分析也对媒介从业者构成技术挑战。因此,在大数据时代,传统媒体的新闻理念、经验和规范应当在继承其合理内核的同时进行深刻变革。
大數據技術給新聞生產帶來瞭深刻的影響,大數據技術及思維改變瞭傳統媒介的媒介生產和操作理唸,改變瞭新聞生產的思路和流程,突破媒體對新聞生產的壟斷,通過關聯物預測新聞髮展,可視化和交互性圖錶方便同受衆的互動。大數據時代的新聞從業者不僅要有大數據思維,還要擅于跨界閤作,數據驅動新聞彊調“數字優先”、增彊新聞可視化效果,但基于大數據技術的新聞生產也麵臨著數據可信度、網絡數據新聞的代錶性問題等難題和唯數據的傾嚮,非結構化數據分析也對媒介從業者構成技術挑戰。因此,在大數據時代,傳統媒體的新聞理唸、經驗和規範應噹在繼承其閤理內覈的同時進行深刻變革。
대수거기술급신문생산대래료심각적영향,대수거기술급사유개변료전통매개적매개생산화조작이념,개변료신문생산적사로화류정,돌파매체대신문생산적롱단,통과관련물예측신문발전,가시화화교호성도표방편동수음적호동。대수거시대적신문종업자불부요유대수거사유,환요천우과계합작,수거구동신문강조“수자우선”、증강신문가시화효과,단기우대수거기술적신문생산야면림착수거가신도、망락수거신문적대표성문제등난제화유수거적경향,비결구화수거분석야대매개종업자구성기술도전。인차,재대수거시대,전통매체적신문이념、경험화규범응당재계승기합리내핵적동시진행심각변혁。
The big data brings great inlfuences on news production, its technology and idea changed the philosophy of production and processing of traditional media, brought out new logic and process to news production. The big data technology breaks the media monopoly in news production, may predict the evolution trends of the news events through relevancy analysis, while visualization and interactive graphs make the audience easier to interact with the news. In the big data era, journalism practitioners need to have big data thoughts and be good at cooperation with people in multimedia, concern highly with“data driven journalism”and put emphasis on the data, enhance the story-telling skills through visualization and interactivity, The paper also points out that there are problems with the big data technology in news production, including relatively low credibility and representativeness, the inclination of data only is also detrimental, and the data analysis technology is a great challenge to the journalist and editors at present. Therefore, the news production will take deep change with inheriting the right core of the concepts and experiences of traditional news production in the era of big data.