What Unregulated Algorithm Industry Wants from New Digital Audience Measurement: Institutional Perspective on Personal Data Surveillance

21 Pages Posted: 25 Jul 2019

Date Written: July 24, 2019

Abstract

This study attempted to serve a number of purposes. First, it has conceptualized data surveillance as purely rational institutional behavior. In making this case, we illustrated the two institutional perspectives – economic pressures toward fragmentation and personalization and how these create the incentive for better surveillance measurement technique. Developing these arguments, this study also illustrated evidential trend in which the locus of privacy protection in marketplace seems not only tenuous, but also incongruent with the public demand. Fundamentally, we present a useful conceptual framework for future studies in understanding personalization and surveillance, taking privacy into the market equation, and argue that the market economics may seem too crude to handle a delicate balance between privacy and surveillance.

Keywords: Surveillance, Digital Advertising, Artificial Intelligence, Algorithm

Suggested Citation

Park, Yong Jin, What Unregulated Algorithm Industry Wants from New Digital Audience Measurement: Institutional Perspective on Personal Data Surveillance (July 24, 2019). Available at SSRN: https://ssrn.com/abstract=3426033 or http://dx.doi.org/10.2139/ssrn.3426033

Yong Jin Park (Contact Author)

Howard University ( email )

2400 Sixth Street, NW
Washington, DC
United States

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