A Contribution to Anchoring Big Data in Social Science
A Contribution to Anchoring Big Data in Social Science
The paper simultaneously debates the prophets of data apocalypse, and warns not to overestimate the importance of Big Data in social science research. There is no such phenomenon as Big Data, only different „big dataverses” – we have to be very careful when making statements. The main thesis is explained on the example of three typical mistakes of mainstream social science Big Data discourses: hermeneutisation (discussing opinions and interpretations instead of analysis of real dataworlds), metonimisation (reversing the Part and the Whole) and decontextualisation (discussion without embedding issues into contemporary data culture frame).
Released: Replika 92–93, 189–201.
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