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Long Tail Effect in Public Policy: Analyzing Big Data on Civil Complaints


Eunmi Lee
Abstract

The research examines long Tail phenomenon by analyzing bigdata collected from two channels, phone and internet base civil complaints in Namyangju city in Korea. The emergence of the Internet base channel requires a new policy system that is appropriate for the network policy process environment, and the change can be better explained the various policy demands from the theoretical point of view of the long tail pattern. The theory replaces the traditional Pareto Principle known as the 80/20 rule to describe the concentration on specific civil complaints of phone base citizen participation. Internet based technology in particular increase the variety of civil participations, thereby creating a longer tail in the distribution of the participation. The empirical results show that the internet base civil complaints exhibit a significantly less concentrated citizen participation distribution when compared with phone base channel.

Volume 11 | 07-Special Issue

Pages: 1310-1315