Affecting Factors Analysis of Adolescents’ Acknowledgement of Personal Data in China in the Big Data Era

Abstract

The swift development of information technology brings people to the big data era and put the issue of personal data privacy on the agenda. This research focus on the affective factors (gender, age, living environment, school type) of adolescents' acknowledgement of personal data privacy in China. The samples were selected from five different schools in Shaanxi province, China. Descriptive statistics are used to analyze the result from the questionnaires. T-test and multiple linear regression analysis are applied to test the hypotheses, and it is examined that hypotheses involving age, region and school type are supported by both tests.