An Exploratory Analysis on the Risk to be Offended on the Internet

Questionnaire data is used to identify socio-demographic as well as 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.