Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 45246,
    "title": "Willkommenskultur: A Computational and Socio-linguistic Study of Modern German Discourse on Migrant Populations",
    "subtitle": null,
    "abstract": "In the lingering wake of the European Refugee Crisis of 2015, population demographics within Germany’s borders continue to change. As these changes occur, sentiments in relation to incoming populations also shift. This essay details the findings of a socio-linguistic study of the portrayal of migrant populations in a corpus of news articles recently collected from four popular German news venues. Using topic modeling, (a computational method of large-scale text analysis), this study analyzes the discourse surrounding and sentiment toward migrant populations in German news media. By exploring the media contexts of the terms \nFlüchtling, Ausländer\n and \nEinwanderer\n this study reveals how media representations further propagate stereotypes and prevent the integration of migrant populations into German society.",
    "language": "en",
    "license": {
        "name": "Creative Commons Attribution-NonCommercial-NoDerivatives  4.0",
        "short_name": "CC BY-NC-ND 4.0",
        "text": "Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.\n\nNonCommercial — You may not use the material for commercial purposes.\n\nNoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.\n\nNo additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",
        "url": "https://creativecommons.org/licenses/by-nc-nd/4.0"
    },
    "keywords": [
        {
            "word": "Ausländer"
        },
        {
            "word": "computational text analysis"
        },
        {
            "word": "Digital Humanities"
        },
        {
            "word": "Einwanderer"
        },
        {
            "word": "Flüchtling"
        },
        {
            "word": "migration"
        },
        {
            "word": "News Media"
        },
        {
            "word": "Refugee Crisis"
        },
        {
            "word": "refugees"
        },
        {
            "word": "socio-linguistics"
        },
        {
            "word": "topic modeling"
        }
    ],
    "section": "Articles",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1x84x67r",
    "frozenauthors": [
        {
            "first_name": "Sabina",
            "middle_name": "",
            "last_name": "Hartnett",
            "name_suffix": "",
            "institution": "",
            "department": "None"
        }
    ],
    "date_submitted": "2019-04-19T19:34:56+02:00",
    "date_accepted": "2019-04-19T19:34:56+02:00",
    "date_published": "2019-05-01T09:00:00+02:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/transit/article/45246/galley/34039/download/"
        }
    ]
}