Article Details

Title An Exploratory Analysis on the Risk to be Offended on the Internet
Authors Kirchner, Susanne and Sögner, Leopold
Year 2018
Volume Archives of Data Science, Series A 3(1) / 2018
Abstract Questionnairedataisusedtoidentifysocio-demographicaswellas the risk-awareness characteristics of users offended on the Internet. The data comprises a representative sample of 3,000 individuals, containing information on employment, education, age, the frequency of Internet usage and security measures taken by the users. Probit and logit regressions show that, conditional on using the Internet, being female and abstaining from using social media significantly reduces the risk to be offended on the Internet.