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数据新闻
 Data Journalism



                   南方都市报
                   2012.5.14
信息?数字?
设计
     多媒体




媒体           数据可视化


            数据新闻
     社交媒体
                   计算机/
                   信息科学
大数据
 Big Data
“大数据不仅仅是一个时髦词汇,我相信
它有真正的未来,我们需要分辨出               些是
未来的趋势,   些是时髦的概念,而大数
据无疑是个趋势。”


             硅谷顶级风险投资机构
            Draper Fisher Jurvweston
             创始合 人Tim Draper
生产:新闻由机器所写
消费:新闻由机器所读




Wavii,采用自然语言处理方法,从
Web(包括新闻网站、Twitter和博
客)上获得跟大量话题有    的新闻,
并对文章、微博、视频等内容进行分
类,然后自动创建   于某事实或者新
闻事件的“状态更新”——往往用一句
话来总结某个新闻,再附上一个查看
全文的链接。呈现在Wavii用户面前
的是一个类似Facebook风格的新闻
源,里面包含了和他们    注的主题有
 的所有新闻。简单来说,它是通过
结构化的方式呈现非结构化的新闻。
商业模式:温水煮青蛙
媒体何为?记者何为?
Data drives the story
           数据为先
          文字在后

               Data with the story
                        数据文字
                        相辅相成


                                 Data for the story
                                         数据为辅
St. Petersburg Times, Politifact, The Obameter, fact-checking of statements.
中国革命后代 − 华尔街日报




WSJ, Nov 26, Children of the Revolution
公务员收入
  660,000

     机构
     职位
     收入
OnlineJournalism Blog
团队?
数据选题
 Data Topics
南海           十八大
      油价
            省委选举
水污染

           512四周年
 贪官
避免情况
✤   数据过于有限

✤   没有趋势或结论

✤   文字/多媒体更适合

✤   地图不成地图

✤   表格已经足
数据获取
Data Acquisition
✤   表格

✤   报告 pdf to excel

✤   网页 whois

✤   视频

✤   微博
数据分析
 Data Analytics
Document Viewer / OpenCalais
✤   转化数据格式——Excel

✤   缩小数据范围

✤   透过数据看本质

✤   莫轻信数字
数据可视化
 Data visualization
事实
   分析
              FACT       展示
  Analysis            Presentation



   理解                    美化
 Understand            Illustrate



探索性产品                解释性产品
Exploratory          Explanatory
  Product              Product
文本分析:
伊战/维基解密
对比图:美国各州同性恋权利
WhoRunsHK - SCMP
从枯燥到有趣
政府预算
政府预算:卫报 2011
政府预算:纽约时报 2012
政府预算:纽约时报 2013 - 互动版
政府预算:政见
从   杂到清晰
薄之   系图 − 纽约时报
薄之   系图 − 路透
薄之   系图 Silobreaker
薄之   系图 Recorded Future
王之时间轴 Recorded Future
中国之未来 Recorded Future
地图
Mapping
日本震后核辐射 − 纽约时报




NYT, Mar 16, 2011, The Evacuation Zones Around the Fukushima Daiichi Nuclear Plant
网络审查 − 卫报
公民地图 − 南华早报




http://citizenmap.scmp.com
80,000+
粉丝
最初版本
       案例数量




       香港地图




       互动时间轴




       社交媒体




       传统新闻
众包
编辑判断
推广与合作
追踪事件发展
市民       问题
         被发现
发现
报告       被表达
帮助       被报道
         被重视
南华早报   环保团体
深入调查     认事件
持续报道    教育民众
公民意识    政策推动
可   制,可繁殖
中国污染地图 − 马军
伦敦骚乱




UK riots: every verified incident - interactive map
伦敦骚乱




http://www.guardian.co.uk/news/datablog/interactive/2011/aug/09/uk-riots-incident-map
伦敦骚乱




http://www.guardian.co.uk/news/datablog/2011/aug/15/riots-map-happened-suspects-addresses
伦敦骚乱




     One 24 year-old man described his car journey from Chingford to the riot in Tottenham: "We [saw] cars and
     there were groups of boys. Only group of boys in vans. And they were speeding down the motorway tryna
     get to that direction … everyone was communicating. Everyone was putting their hazards on. It was all a
     laugh. It was like a, just a fun day out. There was no law. Nothing to control us...So we got there. They
     blocked off the exit towards the Tottenham junction and we saw about 12 police vans parading down the
     motorway at that same time. Everyone was speeding past them. Everyone was swearing at them. People
     were flashing their hazards, putting on their beams. The police just carried on driving. They didn't stop for
     no-one."



http://www.guardian.co.uk/uk/datablog/video/2011/dec/05/england-riots-commute-map
http://www.guardian.co.uk/uk/datablog/2011/dec/05/england-riots-distance-travelled-map
伦敦骚乱
           "These riots were not about poverty," said David
           Cameron. "That insults the millions of people who,
           whatever the hardship, would never dream of
           making others suffer like this."
           But the question is: how do we know? If poverty
           affects health, education and crime, could it be a
           factor in the events of last week?



                                                          We wanted to know what would happen if we
                                                          overlayed those addresses with the poverty
                                                          indicators mapped by England's Indices of Multiple
                                                          Deprivation, which cover very small areas. We had
                                                          already done this with the riot locations
                                                          themselves, but knowing where people came from
                                                          seems a better indicator, especially if people were
                                                          travelling.



http://www.guardian.co.uk/news/datablog/2011/aug/16/riots-poverty-map-suspects
伦敦骚乱




http://www.guardian.co.uk/news/datablog/interactive/2011/aug/16/riots-poverty-map
Guardian, Data desk
iPad/Fathom: 公共健康
数据本地化
 Data localization
拉斯维加斯医疗事故
拉斯维加斯医疗事故
数据工具
  Data Tools
数据前景
 Future of Data
内容聚合 Aggregated content

           语义            掘 Semantic text-mining
                                                                               Contextual insight
                                                                                  深度透视
                系分析 Relational analysis


           视觉解释 Explanatory graphics




http://blog.twingly.com/2011/03/18/an-interview-with-the-ceo-of-silobreaker/
Insight no longer comes from access to
information but from your ability to make
sense of it.

And we cannot solve information overload
simply by trying to read more articles. We
don’t have the time nor the brain capacity.



                          Kristofer Månsson
                         CEO of Silobreaker
Recorded Future


    “What companies are working on fuel cell
    products expected between 2012 and 2015?“

                       “Which heads of state visited
                       Libya in 2010?“


         “What pharma companies are
         releasing new products in the
         first quarter of 2012?”
放数据
Open Data
@马金馨
majinxin.cn@gmail.com

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Data Journalism Training @ Southern Metropolis Daily, Guangdong, China

Hinweis der Redaktion

  1. \n
  2. \n
  3. \n
  4. \n
  5. natural-language processing, pattern recognition and machine learning.\n
  6. http://www.nytimes.com/2011/09/11/business/computer-generated-articles-are-gaining-traction.html?pagewanted=all\n
  7. http://www.alibuybuy.com/posts/73006.html#jtss-tsina\n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. http://www.texastribune.org/library/data/government-employee-salaries/#_rank_and_file\n
  14. \n
  15. 重思路,不重制作\n
  16. \n
  17. 问题?切入点?数据?展现方式?阳光/政见\n
  18. \n
  19. \n
  20. don’t assume everything’s easy in the west\n
  21. http://www.censtatd.gov.hk/home/index.jsp\n Hong Kong’s Census and Statistics Department is a one-stop shop for government statistics on economic indicators, demographics, health, labor, and many other areas.\n
  22. http://www.hkexnews.hk/listedco/listconews/mainindex/SEHK_LISTEDCO_DATETIME_TODAY.htm\n Hong Kong Exchange: Warehouse of information for companies listed in Hong Kong, including interim and annual reports, and required disclosures such as acquisitions of more than 15 per cent of a company, change of senior executives.\n
  23. Webb-site: An independent website that tracks HK company disclosures, news and other events. A good place to start, but it is always good practice to check back with the original source.\n Webb-site.com was established in 1998 by David M. Webb, a former investment banker who has lived in Hong Kong since 1991. We provide anindependent commentary on corporate and economic governance, business, finance, investment and regulatory affairs in Hong Kong. Webb-site.com is run on a not-for-profit basis.\n
  24. http://www.google.com/publicdata/home\n
  25. \n
  26. back to the question of information vs. data\n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. \n
  33. Fields: Design, Communication, Information and their mix: Visual Communication, Data  journalism, User Interface\nRaw elements: Look & Feel, Idea, Data\nDisciplines: Journalism, Information Architecture, Typography\nProcess elements: Visual Design, Objective, Dataset\nOutputs: Layout, Story, Report, Data Analysis, Dashboard, Interface\nFinal result: Form, Concept, Knowledge\nCore competencies: Readability, Logic, Usability\nCore values: Simplicity, Informativeness, Relevance\n
  34. \n
  35. \n
  36. http://www.guardian.co.uk/world/interactive/2012/may/08/gay-rights-united-states\n
  37. \n
  38. \n
  39. http://www.whitehouse.gov/omb/budget\n
  40. http://www.guardian.co.uk/news/datablog/2011/oct/26/government-spending-department-2010-11#graphic\n
  41. http://www.nytimes.com/interactive/2010/02/01/us/budget.html\nHierarchy\n
  42. http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html\n
  43. \n
  44. \n
  45. https://www.nytimes.com/interactive/2012/04/24/world/asia/all-in-the-family.html\n
  46. \n
  47. go online\n
  48. https://www.recordedfuture.com/2012/04/09/piece-together-web-data-like-a-detective/\n
  49. \n
  50. \n
  51. \n
  52. \n
  53. http://www.guardian.co.uk/technology/datablog/interactive/2012/apr/16/web-filtering-censorship\n
  54. \n
  55. \n
  56. \n
  57. go online\n
  58. \n
  59. \n
  60. \n
  61. \n
  62. \n
  63. \n
  64. \n
  65. \n
  66. \n
  67. http://www.ipe.org.cn/pollution/index.aspx\n
  68. \n
  69. \n
  70. \n
  71. \n
  72. \n
  73. \n
  74. \n
  75. \n
  76. \n
  77. http://www.lasvegassun.com/hospital-care/events-chart/\n
  78. http://www.lasvegassun.com/hospital-care/infections-interactive/\nhttp://www.lasvegassun.com/hospital-care/surgical-injuries-interactive/\n
  79. \n
  80. \n
  81. \n
  82. \n
  83. \n
  84. \n
  85. \n
  86. \n
  87. It takes 300,000 Web pages per hour from 40,000 to 50,000 Internet sources and digests the information to create a database.\nRecorded Future works with structure such as people, places, products and companies; events such as meetings, travels, acquisitions, earning calls and natural disasters; and ontologies or hierarchies that explain groupings such as world leaders, corporations or technology areas. \n
  88. \n
  89. \n
  90. \n