Big Data in Practice: Enabling computational journalism through code-sharing and reproducible research methods

Meredith Broussard

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Applied research in computational journalism offers opportunities for scholars to engage with data and platforms by developing original code-based scholarship and research methods. However, scholars who write code need a place to publish about it. This paper suggests new article forms and academic publishing conventions that will allow the field of computational journalism to expand. It explores logistical details associated with sharing and publishing code, and describes reproducible research methods in use in other disciplines.

    Original languageEnglish (US)
    Pages (from-to)266-279
    Number of pages14
    JournalDigital Journalism
    Volume4
    Issue number2
    DOIs
    StatePublished - Feb 17 2016

    Keywords

    • big data
    • code sharing
    • computational journalism
    • data journalism
    • publishing
    • reproducible research
    • transparency

    ASJC Scopus subject areas

    • Communication

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