融合报道中的数据可视化研究

发布时间：2018-03-31 07:21

本文选题：数据新闻　切入点：融合报道　出处：《吉林大学》2017年硕士论文

【摘要】：伴随着移动互联网、云计算、智能终端等信息技术的浪潮及媒介融合趋势,数据可视化报道应运而生,国内外的数据可视化实践正在如火如荼地发展。作为一种新型报道方式,数据可视化改变了新闻的生产、呈现和传播方式,为新闻行业注入了新的生命力。数据可视化报道凭借其自身优势渐渐地占领了新闻报道的一席之地,并将成为未来媒体发展的必然趋势。全文由五个章节组成。绪论部分是全文结构和内容的纵览概括,对本文的研究背景、研究意义、国内外研究现状、研究方法做了详细的介绍。第一章是数据可视化概述,主要论述了新闻为什么可视化,哪些新闻内容适合可视化,分析了大数据时代下数据可视化的特点,探讨数据可视化的发展现状,总结过去的数据可视化和现在热议的数据可视化的区别,现在热议的数据可视化又有怎样的突破。第二章主要结合案例分析数据可视化在平面媒体、电视媒体和网络媒体中的应用和表现形式,总结常见的可视化类型,对数据可视化新闻报道与传统新闻的差异进行论述。第三章概述了融合报道中数据可视化对传统媒体、新闻编辑部及新闻教育产生的影响。一方面,数据可视化拓宽信息采集方法,深度挖掘新闻内容,丰富新闻报道方式,推动媒介转型;另一方面,数据可视化对媒体从业者带来了挑战,同时促进新闻编辑部的结构重组和媒体机构运行机制的转变。此外,数据可视化推动新闻教育变革,国内新闻院校开始增设数据可视化课程,与西方高校、新闻媒体开展合作,培养复合型新闻人才。第四章对融合报道中如何更好地应用数据可视化方式提出了自己的一些建议,并希望新闻媒体不要盲目地信任各种数据,要考察数据源的真实性和准确性,有效地把握好可视化设计,避免脱离可视化功能性。同时,媒体要充分利用多元化的数据资源丰富新闻线索,利用数据技术和多媒体融合手段加强传播效果,提升团队的专业素养与技术素养。第五章从数据可视化与新闻传播的融合发展探讨数据可视化的未来发展趋势。在未来,数据可视化可能会与众多信息技术相结合,不断创新新闻报道内容和形式,呈现更多交互式的数据可视化产品。同时,可视化技术为大众所用,数据可视化也会给媒体带来新的盈利手段。未来的新闻报道将是数据驱动的,融合多种技术形态的可视化报道将成为新闻业发展的主要趋势与方向。虽然论文的写作还有很多不足,但希望对数据可视化的相关理论和实践贡献自己的一份力量。
[Abstract]:With the tide of information technology, such as mobile Internet, cloud computing, intelligent terminal and so on, and the trend of media convergence, data visualization reports emerge as the times require, and data visualization practices at home and abroad are developing in full swing. Data visualization has changed the way of news production, presentation and dissemination, and injected new vitality into the news industry. It will be the inevitable trend of the future media development. The full text consists of five chapters. The introduction part is an overview of the structure and content of the full text, the research background, research significance, domestic and foreign research status, The research methods are introduced in detail. The first chapter is an overview of data visualization, mainly discusses why news visualization, which news content is suitable for visualization, and analyzes the characteristics of data visualization in big data's time. Discuss the development of data visualization, summarize the differences between data visualization in the past and data visualization in the current debate, The second chapter mainly combines the case analysis data visualization in the plane media, the television media and the network media application and the manifestation form, summarizes the common visualization type, the second chapter mainly unifies the case analysis data visualization in the plane media, the television media and the network media application and the expression form, summarizes the common visualization type. The third chapter summarizes the influence of data visualization on traditional media, newsroom and news education. Data visualization broadens information collection methods, deeply excavates news content, enriches news reporting methods and promotes media transformation. On the other hand, data visualization brings challenges to media practitioners. At the same time, it also promoted the restructuring of the newsroom and the transformation of the operational mechanism of media organizations. In addition, data visualization promoted the reform of news education. Domestic journalism colleges and universities began to add data visualization courses to cooperate with western universities and the news media. The fourth chapter gives some suggestions on how to better use data visualization in fusion reporting, and hopes that the news media will not blindly trust all kinds of data. We should investigate the authenticity and accuracy of the data sources, effectively grasp the visual design, and avoid leaving the visual functionality. At the same time, the media should make full use of the diversified data resources to enrich news clues. The fifth chapter discusses the future development trend of data visualization from the perspective of data visualization and news communication. Data visualization may be combined with many information technologies to continuously innovate the content and form of news reports, and present more interactive data visualization products. Meanwhile, visualization technology is used by the public. Data visualization will also bring new ways of making money for the media. Future news coverage will be data-driven. Visual reporting with various technical forms will become the main trend and direction of the development of journalism. Although there are still many shortcomings in the writing of this paper, we hope to contribute our own strength to the theory and practice of data visualization.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G210.7

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