How algorithms see their audience: media epistemes and the changing conception of the individual

Eran Fisher, Yoav Mehozay

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים

תקציר

The rise of digital media has witnessed a paradigmatic shift in the way that media outlets conceptualize and classify their audience. Whereas during the era of mass media, ‘seeing’ the audience was based on a scientific episteme combining social theory and empirical research, with digital media ‘seeing’ the audience has come to be dominated by a new episteme, based on big data and algorithms. This article argues that the algorithmic episteme does not see the audience more accurately, but differently. Whereas the scientific episteme upheld an ascriptive conception which assigned individuals to a particular social category, the algorithmic episteme assumes a performative individual, based on behavioral data, sidestepping any need for a theory of the self. Since the way in which the media see their audience is constitutive, we suggest that the algorithmic episteme represents a new way to think about human beings.

שפה מקוריתאנגלית
עמודים (מ-עד)1176-1191
מספר עמודים16
כתב עתMedia, Culture and Society
כרך41
מספר גיליון8
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 1 נוב׳ 2019

הערה ביבליוגרפית

Publisher Copyright:
© The Author(s) 2019.

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