Abstract:
The signi cance of social media has already been proven in provoking transformation
of public opinion for developed countries in improving democratic
process of elections. On the contrary, developing countries lacking basic necessities
of life possess monopolistic electoral system. In this system, candidates
are elected based on tribes, family backgrounds, or landlord in
uences.
They extort voters to cast votes against their promises for the provision of basic
needs. Similarly voters also poll votes for personal interests being unaware
of party manifesto or national interest. These issues can be addressed by social
media, resulting as ongoing process of improvement for presently adopted
electoral procedures. On the brighter side, people of Pakistan utilized social
media to garner support and campaign for political parties in General Elections
2013. Political leaders, parties, and people of Pakistan empowered
themselves additionally with social media, in disseminating party's agenda
and advocacy of party's ideology on Twitter without much campaigning cost.
To study e ectiveness of social media inferred from individual's political behavior,
large scale analysis, sentiment detection & tweet classi cation was
done in order to classify, predict and forecast election results. The experimental
results depicts that social media content can be used as an e ective
indicator for capturing political behaviors of di erent parties Positive, negative
and neutral behavior of the party followers as well as party's campaign
impact can be predicted from the analysis. The analytical ndings proved
to be having considerable correspondence with actual results as published by
Election Commission of Pakistan.
