  Polarization issue is generally subject to ideological polarization and
affective polarization. In particular, affective polarization usually
accelerates the polarization process and transform social interactions into a
zero-sum game. Yet, a wide array of existing literature have not provided valid
ways to make distinction between them. Therefore, the mechanism contributing to
the rise of affective polarization still remain unclear, as well as its unique
emergent dynamics. To address this issue, this study introduces the coupled
feedback between opinions and response susceptibility to a attraction-repulsion
model which takes account into three parameters: interaction strength, response
susceptibility and tolerance to others. The model features phase diagrams of
global consensus, affective polarization, and ``harmony with diversity" states.
The simulations on time-varying and static social networks show that
intermediate parameter ranges yield a global convergence, as one integrated
cluster collapsing and converging towards a uncertain moderate position after
long-time persistence. Overall, the simulations reveal that the feedback
essentially offers a counterforce to establish an inversion between global
convergence and ``harmony with diversity". Remarkably, strengthening feedback
may facilitate polarization by driving the system priorly self-organize into
one integrated cluster which then gradually approaching polarization,
especially for low tolerance and strong interactions, and the step-like dynamic
behaviors of opinion entropy suggest the occurrence of dynamic equilibrium. For
the first time, this study attempts to offer a useful approach to the micro
foundations of affective polarization, and the results guide us how to avoid
the dilemmas from this polarization.
