Artificial Intelligence for Investigative Reporting: Using an expert system to enhance journalists’ ability to discover original public affairs stories

Meredith Broussard

    Research output: Contribution to journalArticle

    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.

    Original languageEnglish (US)
    Pages (from-to)814-831
    Number of pages18
    JournalDigital Journalism
    Volume3
    Issue number6
    DOIs
    StatePublished - Nov 2 2015

    Fingerprint

    knowledge-based system
    artificial intelligence
    journalist
    Expert systems
    Artificial intelligence
    Education
    ability
    reporter
    social effects
    education

    Keywords

    • artificial intelligence
    • computational journalism
    • data journalism
    • expert systems
    • innovation
    • public affairs journalism

    ASJC Scopus subject areas

    • Communication

    Cite this

    Artificial Intelligence for Investigative Reporting : Using an expert system to enhance journalists’ ability to discover original public affairs stories. / Broussard, Meredith.

    In: Digital Journalism, Vol. 3, No. 6, 02.11.2015, p. 814-831.

    Research output: Contribution to journalArticle

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