  A large amount of content is generated everyday in social media. One of the
main goals of content creators is to spread their information to a large
audience. There are many factors that affect information spread, such as
posting time, location, type of information, number of social connections, etc.
In this paper, we look at the problem of finding the best posting time(s) to
get high content visibility. The posting time is derived taking other factors
into account, such as location, type of information, etc. In this paper, we do
our analysis over Facebook pages. We propose six posting schedules that can be
used for individual pages or group of pages with similar audience reaction
profile. We perform our experiment on a Facebook pages dataset containing 0.3
million posts, 10 million audience reactions. Our best posting schedule can
lead to seven times more number of audience reactions compared to the average
number of audience reactions that users would get without following any
optimized posting schedule. We also present some interesting audience reaction
patterns that we obtained through daily, weekly and monthly audience reaction
analysis.
