  Interactions among individuals in social networks lead to echo chambers where
the distribution of opinions follows a bimodal distribution with two peaks at
the opposite extremes. In issues with clear answers, such as global warming,
one of the echo chambers reflects an inaccurate judgment, potentially from
misinformation. However, in issues without clear answers such as elections, the
neutral consensus is preferable for promoting discourse. In this letter, we use
an opinion dynamics model to study the effect of a random dynamical nudge where
we present random input to each agent from the other individuals in the
network. We show that random dynamical nudge disallows the formation of echo
chambers and leads to a normal distribution of opinions centered around the
neutral consensus. The random dynamical nudge relies on the collective dynamics
and it does not require surveillance of every person's opinions. Social media
networks could implement a version of this self-feedback mechanism to prevent
the formation of segregated online communities on pressing issues such as
elections.
