An Improved Recommendation Algorithm For Polarized Population

Analysis of individual characteristics influencing user polarization in COVID-19 vaccine hesitancy.

“… Santos et al (2021) suggested that recommendation algorithms stimulated opinion polarization by preferentially establishing links between similar users. Wang et al (2022) also indicated that the use of recommendation algorithms led users to “passively” accept more similar opinions and promoted the formation of “passive” polarization. In most cases, the more frequently users contact Weibo, the more homogeneous and polarized they will be ( Xu, 2021 ).…”