000			01525cam a2200277 4500500
005			20250121082051.0
041			_afre
042			_adc
100	1	0	_aJoux, Alexandre _eauthor
245	0	0	_aBig data and journalism: Irreconcilable epistemological ambitions
260			_c2021.
500			_a31
520			_aThe “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.
690			_araw data
690			_adata journalism
690			_abig data
690			_aepistemology of journalism
690			_aobjectivity
690			_araw data
690			_adata journalism
690			_abig data
690			_aepistemology of journalism
690			_aobjectivity
786	0		_nHermès, La Revue | o 88 | 2 | 2021-12-02 | p. 291-298 | 0767-9513
856	4	1	_uhttps://shs.cairn.info/journal-hermes-la-revue-2021-2-page-291?lang=en&redirect-ssocas=7080
999			_c499637 _d499637