Big data and journalism: Irreconcilable epistemological ambitions (notice n° 499637)

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Personal name Joux, Alexandre
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Title Big data and journalism: Irreconcilable epistemological ambitions
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Date of publication, distribution, etc. 2021.<br/>
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General note 31
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Summary, etc. The “science of big data” and data-driven journalism are frequently linked because they arise from the same effort to incorporate data into the practices of producing information. However, they stem from epistemological approaches that are difficult to reconcile with one another. While some find that big data, with its incommensurable datasets, has a monopoly on correlation without causation, data journalism appeals to standardized data to justify the truth of its statements. From this perspective, data must be reprocessed and tested in the field in order to become meaningful. Data does not speak for itself, as can be seen in the first great investigations that marked the early days of data journalism.
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Topical term or geographic name as entry element data journalism
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Topical term or geographic name as entry element big data
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Topical term or geographic name as entry element epistemology of journalism
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Topical term or geographic name as entry element objectivity
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Topical term or geographic name as entry element raw data
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element data journalism
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Topical term or geographic name as entry element big data
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element epistemology of journalism
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Topical term or geographic name as entry element objectivity
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Note Hermès, La Revue | o 88 | 2 | 2021-12-02 | p. 291-298 | 0767-9513
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Uniform Resource Identifier <a href="https://shs.cairn.info/journal-hermes-la-revue-2021-2-page-291?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-hermes-la-revue-2021-2-page-291?lang=en&redirect-ssocas=7080</a>

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