Computer-mediated creativity and investigative journalism

Meredith Broussard

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    In May 2015, journalist Maggie Lee posted the following to an email list of data journalists: “So, I’m a state gov’t reporter learning CAR, hooray. Python and D3 and whatnot etc. But Lord, what should I make?" Lee’s question, of what to write about, is a common one for digital journalists armed with tech skills but seeking an appropriate story on which to unleash them. Some journalists, asking themselves the same question, will undoubtedly answer, “I want to do an investigative story that uses government data to uncover potential fraud.” Given the growing interest in computational analysis inside digital journalism and the resulting increase in questions such as Lee’s, I offer a method for constructing a software system that will assist in developing a suite of story ideas on a single theme on a public affairs beat. The system, which I call a Story Discovery Engine, is a reporting tool. Like any specialized tool, its purpose is to help its user with a specific task, but it will also be useful for other as-yet-unimagined purposes. Creating a Story Discovery Engine and deploying it on a beat can help reporters to come up with a variety of story ideas based on data analysis.

    Original languageEnglish (US)
    Title of host publicationThe Routledge Companion to Digital Journalism Studies
    PublisherTaylor and Francis
    Pages311-322
    Number of pages12
    ISBN (Electronic)9781317499077
    ISBN (Print)9781138887961
    DOIs
    StatePublished - Jan 1 2016

    ASJC Scopus subject areas

    • Social Sciences(all)

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