ARTIFICIAL INTELLIGENCE FOR INVESTIGATIVE REPORTING Using an expert system to enhance journalists' ability to discover original public affairs stories

被引：45

作者：

Broussard, Meredith ^{[1
]}

机构：

[1] Temple Univ, Dept Journalism, Philadelphia, PA 19122 USA

来源：

DIGITAL JOURNALISM | 2015年 / 3卷 / 06期

关键词：

artificial intelligence; computational journalism; data journalism; expert systems; innovation; public affairs journalism; CREATIVITY; PROMISE;

D O I：

10.1080/21670811.2014.985497

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

This paper describes an artificial intelligence-based software system that augments public affairs reporters' ability to sort through data and identify investigative storytelling opportunities. A prototype of the model was developed and was used to analyze education data. The successful prototype and the social impact of the stories derived from the prototype suggest this approach as a valid option for newsrooms that seek to tell more compelling, data-rich stories about public affairs issues.

引用

页码：814 / 831

页数：18