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data_journalism [2016/05/31 09:35] hkimscildata_journalism [2016/12/13 13:55] (current) – [Data Journalism] hkimscil
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 ====== Data Journalism ====== ====== Data Journalism ======
-<WRAP column 46%>+<WRAP half column>
 Database journalism \\ Database journalism \\
 Computer-assisted journalism \\ Computer-assisted journalism \\
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 Data journalism outcomes can range from visualization to long form articles. It is about the process how to turn numbers in to a story, whether the story is comprised of words or graphics is irrelevant. By knowing the structure of your team and balancing resources, you can start to think how best to organize your group. Data journalism outcomes can range from visualization to long form articles. It is about the process how to turn numbers in to a story, whether the story is comprised of words or graphics is irrelevant. By knowing the structure of your team and balancing resources, you can start to think how best to organize your group.
  
-  * https://www.youtube.com/watch?v=DxvVZe2fnvI+  * {{youtube>DxvVZe2fnvI|99% vs1%}}
   * [[http://www.theguardian.com/news/datablog/2012/dec/04/government-spending-department-2011-12|Government spending by department, 2011-12: get the data]], The Guardian   * [[http://www.theguardian.com/news/datablog/2012/dec/04/government-spending-department-2011-12|Government spending by department, 2011-12: get the data]], The Guardian
  
 From [[http://learno.net/courses/doing-journalism-with-data-first-steps-skills-and-tools|Doing Journalism with Data: Frist Steps, Skills and Tolls]]: [[http://learno.net/classroom/doing-journalism-with-data-first-steps-skills-and-tools|Lession]]: Login required From [[http://learno.net/courses/doing-journalism-with-data-first-steps-skills-and-tools|Doing Journalism with Data: Frist Steps, Skills and Tolls]]: [[http://learno.net/classroom/doing-journalism-with-data-first-steps-skills-and-tools|Lession]]: Login required
- 
 </WRAP> </WRAP>
-<WRAP column 46%>+<WRAP half column>
 Key-roles, you will probably need to do at least 2 of these: Key-roles, you will probably need to do at least 2 of these:
   - Research (4:58)   - Research (4:58)
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     * Example: 99% vs 1% (Links to an external site.) (The Guardian)      * Example: 99% vs 1% (Links to an external site.) (The Guardian) 
 </WRAP> </WRAP>
 +
  
 ===== Teams ===== ===== Teams =====
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 ===== Writing ===== ===== Writing =====
-<WRAP column 46%>+<WRAP half column>
 [[https://owl.english.purdue.edu/owl/resource/735/04/|The Inverted Pyramid Structure]] at Purdue University [[https://owl.english.purdue.edu/owl/resource/735/04/|The Inverted Pyramid Structure]] at Purdue University
  
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         * Full article, "[[https://source.opennews.org/en-US/learning/people-power-prevails/|People Power Prevails!]]" (Source)         * Full article, "[[https://source.opennews.org/en-US/learning/people-power-prevails/|People Power Prevails!]]" (Source)
 </WRAP> </WRAP>
-<WRAP column half>+<WRAP half column>
     * Crowdsourced reporting      * Crowdsourced reporting 
       * [[http://www.theguardian.com/news/datablog/interactive/2011/aug/09/uk-riots-incident-map|UK riots: every verified incident - interactive map]], The Guardian       * [[http://www.theguardian.com/news/datablog/interactive/2011/aug/09/uk-riots-incident-map|UK riots: every verified incident - interactive map]], The Guardian
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     * Data journalism is less good at correlating that data to produce a cause and effect analysis.      * Data journalism is less good at correlating that data to produce a cause and effect analysis. 
 </WRAP> </WRAP>
 +====== 데이터저널리즘 ======
 +<WRAP column half>
 +오픈데이터저널리즘
 +빅데이터저널리즘  
 +데이터중심(기반)저널리즘 
 +
 +Computer assisted = fact gathering 
 +여기에 더 나아가 인터액티브한 결과물을 도출하는 과정 
 +따라서 
 +데이터저널리즘 =
 +  * __데이터의 수집, 정리, 분석, 시각화, 스토리화 등의 과정을 통해 저널리즘을 실천하는 행위들__
 +
 +데이터 기반한 인포그래픽, 스토리텔링 -> 데이터마이닝, 데이터 전문가의 역할이 중요해 짐
 +
 +__필요성__
 +  * 정보불평등의 해결책
 +  * 저널리즘의 개관성과 신뢰도 향상
 +    * http://hot.coroke.net 충격, 경악, 황당 등 자극적이고 무의미하며 선정적인 단어로 구성된 헤드라인 사용
 +  * 깊이 있는 정보 (사실과 사실 밑에 있는 것들 (embedded))
 +__역할__
 +  * 저널리즘 객관성 강화
 +  * 데이터의 공공적인 성격을 부각시켜 공개화 추구 (open 데이터) -> 정부, 기업의 투명성 
 +    * 국가안보, 국익, 프라이버시, 국민의 알권리 등과 결합하여 충돌
 +    * 개방에 걸림돌이 되고 있음 (Lehtonen, 2011)
 +</WRAP>
 +<WRAP column half>
 +    * wikileaks.com
 +    * [[http://www.nature.com/nature/journal/v494/n7436/full/nj7436-271a.html|science communication: from page to screen]]
 +  * 데이터 수집과 참여에 개인이 참여 -> 개인의 정치, 사회적인 활동 강화
 +  * 스토리텔링을 보여주기 위한 기술의 강화 (증강현실 활용 등)  
 +    * {{youtube>hVimVzgtD6w|Video of the Week}}
 +  * https://wikileaks.org/
 +  * http://news.coroke.net/
 +</WRAP>
 +
 +====== 데이터저널리즘과 관련된 주제 ======
 +디지털시대 뉴스 유통과 알고리즘
  
data_journalism.1464656719.txt.gz · Last modified: 2016/05/31 09:35 by hkimscil

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