AUDIT TESTING OF PERSONAL DATA ON SOCIAL MEDIA

The continual blurring of the boundaries between live reality and digital reality is a phenomenon of today’s era. This fact brings with it both positive and negative impacts on all of society. Social media continuing user personal data forms an important part of the process in question. The testing of such data uses auditing approaches that can help analyse the links between users and social media. The objective of this essay is therefore to audit the level at which users share personal data on a selected social media platform. The reason is that certain users of social media can be hypothetically presumed not to concern themselves with the security of their shared data. It is therefore important to address these questions as part of scientific/research objectives. The execution of this objective has been achieved through experimental testing of a Generation Z study sample. Specifically, this was performed using the PAPI methodology and by calculating Cronbach’s alpha in the statistical program IBM SPSS. The dependencies determined were subsequently defined primarily using the Pearson correlation coefficient. Other testing consisted of analysing the sample of user profiles of selected social media. The results were statistically summarized and were then submitted for audit recommendations; the conclusions were addressed as part of the technical discussion. In conclusion, it has been recommended that modern users of social media be trained in and comply with security rules when sharing personal data. This will contribute to general adaptation to its new association with social and economic processes.