Artificial Intelligence for Investigative Reporting

2014/11/28 by Meredith Broussard · 2 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer science #Data Analysis with R #Data science #Information retrieval #Innovative Teaching Methodologies in Social Sciences #Knowledge management #Narrative #Political science #Public relations #Software #Storytelling #sort

paper · doi:10.1080/21670811.2014.985497

openalex publication_date 2014/11/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

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.

Citations

• CRITICAL QUESTIONS FOR BIG DATA
• Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
• Handbook of Creativity
• Cognitive Consequences of Formal and Informal Education

Cited by

• They Think AI Can Do More Than It Actually Can: Practices, Challenges, & Opportunities of AI-Supported Reporting In Local Journalism
• Meredith Broussard [wikipedia]

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