  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.
