On the Prevention of Privacy Threats: How Can We Persuade Our Social Network Users?

Abstract

Complex decision making problems such as the privacy policy selection when sharing content in online social networks can significantly benefit from artificial intelligence systems. With the use of Computational Argumentation, it is possible to persuade human users to modify their initial decisions to avoid potential privacy threats and violations. In this paper, we present a study performed over 186 teenage users aimed at analysing their behaviour when we try to persuade them to modify their initial decisions in online social networks with different arguments. The results of the study revealed that the personality traits and the social interaction data (e.g., number of comments, friends, and likes) of our participants were significantly correlated with the persuasive power of the arguments. The findings from this analysis will help to model OSN users and define persuasive strategies for argumentation dialogues in this domain.