[Objective] This paper proposes a new model based on the traditional privacy calculus, aiming to effectively quantify the privacy paradox behaviors of social media users. [Methods] First, we quantified users’ information with the IRT model and grey relational analysis. Then, we built a model from the perspectives of the balanced benefits and risks. Third, we calculated and analyzed the equilibrium solution on social platform with this new model. Finally, we evaluated our model’s performance with some real-world users’ information. [Results] The perceived benefits of most social media users was higher than the perceived risks, which indicated the existence of privacy paradox and was in line with the real world situation. [Limitations] We did not fully examine the perceived benefit framework due to the lack of data. There is no proven standard for merging the proposed model’s two sections. [Conclusions] The proposed model supports the privacy paradox with objective data and lays a foundation for studying users’ privacy behaviors on social media.
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