  Computational Politics is the study of computational methods to analyze and
moderate users' behaviors related to political activities such as election
campaign persuasion, political affiliation, and opinion mining. With the rapid
development and ease of access to the Internet, Information Communication
Technologies (ICT) have given rise to massive numbers of users joining online
communities and the digitization of analogous data such as political debates.
These communities and digitized data contain both explicit and latent
information about users and their behaviors related to politics. For
researchers, it is essential to utilize data from these sources to develop and
design systems that not only provide solutions to computational politics but
also help other businesses, such as marketers to increase users, participation
and interactions. In this survey, we attempt to categorize main areas in
computational politics and summarize the prominent studies in one place to
better understand computational politics across different and multidimensional
platforms. e.g., online social networks, online forums, and political debates.
We then conclude this study by highlighting future research directions,
opportunities, and challenges.
