[3N5-GS-11] AI and Society

[3N5-GS-11-03] Measuring bias of Twitter users through multidimensional Gaussian mixture models

〇Chako Takahashi¹, Mitsuo Yoshida², Muneki Yasuda¹ (1. Yamagata University, 2. University of Tsukuba)

Keywords:Twitter, social media, Computational social science

This study proposes a method to measure the bias of users in social media spaces. We model the entire user space of Twitter with a multidimensional Gaussian mixture model using user attributes obtained from Twitter 1\% sample stream data. We then employ the probability of the attribute values range in which users exist, calculated from the model, as an indicator of bias of users in the user space. Numerical experiments show that the bias calculated by the model relevantly reflects the bias observed in the data used to model the user space, suggesting that the proposed method can be used to quantify the bias of users.