  Motivated by the two paradoxical facts that the marginal cost of following
one extra candidate is close to zero and that the majority of Twitter users
choose to follow only one or two candidates, we study the Twitter follow
behaviors observed in the 2016 U.S. presidential election. Specifically, we
complete the following tasks: (1) analyze Twitter follow patterns of the
presidential election on Twitter, (2) use negative binomial regression to study
the effects of gender and occupation on the number of candidates that one
follows, and (3) use multinomial logistic regression to investigate the effects
of gender, occupation and celebrities on the choice of candidates to follow.
