From computer-assisted to data-driven: Journalism and Big Data. (April 2017)

• Record Type: Journal Article
• Authors: Hammond, Philip
• Is Part Of: Journalism. Volume 18:Number 4(2017)
• Page Start: 408
• Page End: 424
• Publication Date: 2017-04
• Subjects: Actor–network theory -- Big Data -- computer-assisted reporting -- data journalism -- objectivity -- post-humanism; Journalism -- Periodicals; Journalism -- Social aspects -- Periodicals; 070.405
• DOI: 10.1177/1464884915620205
• Languages: English
• ISSNs: 1464-8849

Abstract

Despite claims of continuity, contemporary data journalism is quite different from the earlier tradition of computer-assisted reporting. Although it echoes earlier claims about being scientific and democratic, these qualities are understood as resulting from better data access rather than as being something achieved by the journalist. In the context of Big Data in particular, human subjectivity tends to be downgraded in importance, even understood as getting in the way if it means hubristically theorising about causation rather than working with correlation and allowing the data to speak. Increasing 'datafication' is not what is driving changes in the profession, however. Rather, the impact of Big Data tends to be understood in ways that are consonant with pre-existing expectations, which are shaped by the broader contemporary post-humanist political context. The same is true in academic analysis, where actor–network theory seems to be emerging as the dominant paradigm for understanding data journalism, but in largely uncritical ways.