{
    "o:id": 16776,
    "url": "https://chloe.cnr.it/s/BiDiAr/item/16776",
    "o:resource_template": "Academic Article",
    "o:resource_class": "bibo:AcademicArticle",
    "dcterms:title": [
        "How the machine ‘thinks’: Understanding opacity in machine learning algorithms"
    ],
    "dcterms:creator": [
        "Burrell, Jenna"
    ],
    "dcterms:date": [
        "2016"
    ],
    "dcterms:language": [
        "eng"
    ],
    "dcterms:rights": [
        "© The Author(s) 2016"
    ],
    "dcterms:abstract": [
        "This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card ..."
    ],
    "dcterms:isPartOf": [
        "Big Data & Society"
    ],
    "bibo:doi": [
        "https://journals.sagepub.com/doi/10.1177/2053951715622512"
    ],
    "bibo:shortTitle": [
        "How the machine ‘thinks’"
    ],
    "foaf:homepage": [
        "https://www.zotero.org/groups/5293298/bidiar/items/2IDCEDLFitem-list"
    ]
},