Computational Journalism

被引：110

作者：

Cohen, Sarah ^{[1
]}

Hamilton, James T. ^{[1
,2
]}

Turner, Fred ^{[3
]}

机构：

[1] Duke Univ, Sanford Sch Publ Policy, Durham, NC 27708 USA

[2] Duke Univ, DeWitt Wallace Ctr Media & Democracy, Durham, NC USA

[3] Stanford Univ, Program Sci Technol & Soc, Stanford, CA 94305 USA

来源：

COMMUNICATIONS OF THE ACM | 2011年 / 54卷 / 10期

关键词：

D O I：

10.1145/2001269.2001288

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Researchers and journalists are exploring new methods, sources, and ways of linking communities to the information they need to govern themselves. A new field is emerging to promote the process: computational journalism. A half-century ago, photocopying machines quietly revolutionized accountability journalism. The ability to copy documents worked in tandem with new freedom-of-information laws to make possible more sophisticated investigations. For computationalists and journalists to work together to create a new generation of reporting methods, each needs an understanding of how the other views data. On the flip side, investigative reporters have gigabytes of data on their hard drives and reams of documents in their file cabinets and are often willing to share them with researchers after a story is published. They are not bound by rules regarding human-subject testing or the research standards of peer-reviewed journals.

引用

页码：66 / 71

页数：6