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Small Data Theorizing
Author(s) -
Vicki Mayer
Publication year - 2020
Publication title -
communication theory
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.671
H-Index - 81
eISSN - 1468-2885
pISSN - 1050-3293
DOI - 10.1093/ct/qtaa029
Subject(s) - praxis , social connectedness , big data , sociology , joins , set (abstract data type) , power (physics) , epistemology , data science , computer science , knowledge management , psychology , social psychology , philosophy , physics , quantum mechanics , programming language , operating system
Small data theorizing encompasses the ways communities of collaborators deliberate over the status of data through a set of three mediational logics that pose alternatives to datafication. Small data theorizing is a way of generalizing a framework for understanding the role of the collaborators in digital archiving and database design processes, which often involve both communication researchers and ordinary institutions, such as universities and museums. This framework for mediational logics extends the critiques of big data theory, and its monolithic claims about autonomous technologies and power in society, by elaborating the ways people actively maintain their connectedness to data in archival design. At the same time, it joins critical communication theory’s central concerns about power with a praxis. This can help all communication researchers in seeing how communities are theorizing practical alternatives to archives that are designed for big data and their ecosystems.

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