Abstract
Journalism and media studies lack robust theoretical concepts for studying journalistic knowledge generation. More specifically, conceptual challenges attend the emergence of big data and algorithmic sources of journalistic knowledge. A family of frameworks apt to this challenge is provided by “social epistemology”: a young philosophical field which regards society’s participation in knowledge generation as inevitable. Social epistemology offers the best of both worlds for journalists and media scholars: a thorough familiarity with biases and failures of obtaining knowledge, and a strong orientation toward best practices in the realm of knowledge-acquisition and truth-seeking. This article articulates the lessons of social epistemology for two central nodes of knowledge-acquisition in contemporary journalism: human-mediated knowledge and technology-mediated knowledge.
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