[資料新聞學 Data journalism]
主題小編 (2015/12/30)

 [資料新聞學Data journalism]

-定義 Definition

中文

1.     Wiki:透過對大量資料集進行分析與篩檢後來產出新聞報導(故事)的一種新聞處理程序。

2.     Lorenz (2010): 資訊新聞報導是一種新聞工作流程,包含以下各項元素:將資料純淨化、透過結構化深入資料,挖掘特定資訊以過濾資料,最後將資料視覺化,而做成新聞報導,使其適用於個人層面或是更廣的公共層面。

3.     Bradshaw (2012): 資訊新聞報導是結合資料所完成的新聞,…此一新聞報報導方式主要在將傳統新聞鼻和敘事能力,結合大規模數位資訊,而產出新的報導可能性。…

西文

Data journalism

Not to be confused with Data driven journalism or Database journalism.

Data journalism is a journalism specialty reflecting the increased role that numerical data is used in the production and distribution of information in the digital era. It reflects the increased interaction between content producers (journalist) and several other fields such as design, computer science and statistics. From the point of view of journalists, it represents "an overlapping set of competencies drawn from disparate fields".[1]

Data journalism has been widely used to unite several concepts and link them to journalism. Some see these as levels or stages leading from the simpler to the more complex uses of new technologies in the journalistic process.[2]

Designers are not always part of the process, according to author and data journalism trainer Henk van Ess [3] "Datajournalism can be based on any data that has to be processed first with tools before a relevant story is possible. It doesn't include visualisation per se"

From Wikipedia, the free encyclopedia

 

~感謝政大傳播學院陳百齡老師提供


 

相關圖書 Related Books

1.   本館中文圖書相關館藏 Related Chinese Books in NCCU Libraries
檢索策略以關鍵字 資料新聞學 or資訊新聞報導or資料導向新聞學查詢

2.   本館西文圖書相關館藏 Related English Books in NCCU Libraries
檢索策略以關鍵字 (Data journalism) or (Data-Driven Journalism)查詢

3.    NBINet全國書目資訊網相關中文書目
檢索策略:以關鍵字“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢

相關期刊論文 Related Journal Articles

1.          相關中文期刊論文 Related Chinese Journal Articles

    臺灣期刊論文索引:以“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢

    華藝線上圖書館:以“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢篇名、關鍵字、摘要等欄位

    CNKI 中國期刊全文數據庫:以“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢「篇名」欄位僅提供連結 Only search interface

2.          相關西文期刊論文 Related English Journal Articles

    ProQuest(Data journalism AND ("Journalism " or " Database journalism " ))進行查詢僅提供連結 Only search interface

    EBSCOhost以關鍵字 (Data journalism) or (Database journalism) 查詢僅提供連結 Only search interface

相關博碩士論文 Related Theses and Dissertations

1.     國立政治大學博碩士論文全文影像系統 National Cheng Chi University Eletronic Theses & Dissertations
檢索策略“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢摘要欄位

2.     全國碩博士論文資訊網 Electronic Theses and Dissertations System
檢索策略“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”查詢摘要欄位 

研究報告與學術會議論文資料庫 Research Reports and Conference Papers Database 

1.     政府研究資訊系統GRB資料庫 Research Reports of the ROC
檢索策略以“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”進行查詢。(僅提供連結 Only search interface

2.     學術會議論文摘要資料庫 Conference Papers of the ROC
檢索策略以“資料新聞學” or“資訊新聞報導”or“資料導向新聞學”進行查詢。(僅提供連結 Only search interface

查詢更多資料庫To Search In More Databases

 

相關網路資源 Related Websites resources 

    文章 Articles

1. Seth C. Lewis & Oscar Westlund (2015) Big Data and Journalism, Digital

Journalism, 3:3, 447-466, DOI: 10.1080/21670811.2014.976418

 

Big data is a social, cultural, and technological phenomenon—a complex amalgamation of digital data abundance, emerging analytic techniques, mythology about data-driven insights, and growing critique about the overall consequences of big-data practices for democracy and society. While media and communication scholars have begun to examine and theorize about big data in the context of media and public life broadly, what are the particular implications for journalism? This

article introduces and applies four conceptual lenses—epistemology, expertise, economics, and ethics—to explore both contemporary and potential applications of big data for the professional logic and industrial production of journalism. These distinct yet inter-related conceptual approaches reveal how journalists and news media organizations are seeking to make sense of, act upon, and derive value from big data during a time of explora- tion in algorithms, computation, and quantification. In all, the developments of big data potentially have great meaning for journalism’s ways of knowing (epistemology) and doing (expertise), as well as its negotiation of value (economics) and values (ethics). Ultimately, this article outlines future directions for journalism studies research in the context of big data.

KEYWORDS algorithms; big data; computational journalism; epistemology; expertise; media economics; media innovation; journalism ethics; technology

   

2.Mark Coddington (2015) Clarifying Journalism’s Quantitative Turn, Digital Journalism, 3:3, 331-348, DOI: 10.1080/21670811.2014.976400

As quantitative forms have become more prevalent in professional journalism, it has become increasingly important to distinguish between them and examine their roles in contemporary journalistic practice. This study defines and compares three quantitative forms of journalism—computer-assisted reporting, data journalism, and computational journalism—examining the points of overlap and divergence among their journalistic values and practices. After setting the three forms against the cultural backdrop of the convergence between the open-source movement and professional journalistic norms, the study introduces a four-part typology to evaluate their epistemological and professional dimensions. In it, the three forms are classified according to their orientation toward professional expertise or networked participation, trans- parency or opacity, big data or targeted sampling, and a vision of an active or passive public. These three quantitativejournalistic forms are ultimately characterized as related but distinct approaches to integrating the values of open-source culture and social science with those of professional journalism, each with its own flaws but also its own distinct contribution to dem- ocratically robust journalistic practice.

KEYWORDS big data; computational journalism; computer-assisted reporting; data journalism;expertise; open source; professional journalism; public; transparency

 

  3. Joakim Karlsen & Eirik Stavelin (2014) Computational Journalism in Norwegian Newsrooms, Journalism Practice, 8:1, 34-48, DOI: 10.1080/17512786.2013.813190

This article examines computational journalism as a craft practised in Norwegian newsrooms. Based on in-depth interviews with expert practitioners in six of the largest newsrooms in Norway, we find that computational journalism represents a continuation of traditional (investigative) journalism. While the skills and tools necessary to do this kind of journalism diverge from the typical journalists, the values and aims align well with tradition. Even though computation enables journalists to cope with the size and scale of journalistically appealing datasets, we find little evidence for computational journalism to increase the efficiency of doing journalism or in any other way rid journalists from low-level technical work.

KEYWORDS communication technology; computer-assisted reporting; computational journalism;journalism; online journalism; rhetorical craft

網站 Websites

資料新聞學,從零開始:http://www.datajournalismtw.com/

 

資料視覺化:http://infographics.tw/

      

新媒體研究所:http://whatsnextfornewmedia.com/category/%E6%96%B0%E5%AA%92%E9%AB%94%E7%A0%94%E7%A9%B6%E6%89%80/       

 

文章標籤:資料新聞學,資料導向新聞學,Data journalism,Data-Driven Journalism
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