Online civic engagement through social media: An analysis of twitter big data

The development of social media and internet networks has stimulated new scientific interest in terms online civic engagement, resulting a redefinition deliberative politics the public sphere. On other hand, all aspects human life today have been translated into big data recorded their activities on media. shift from using humans as unit study to algorithms creates problem for academics science. This engagement research aims find out topic discourse digital citizens moving nation's capital city (IKN) what ideology behind is by utilizing Twitter data. used mixed method with sequential explanatory design type. quantitative modeling Latent Dirichlet Allocation (LDA) technique, while qualitative Critical Discourse Analysis (CDA) Norman Fairclough, who sees language practice power. Findings analysis revealed that there were four themes IKN discourse: agreeing move state capital, objecting supporting fourth theme, law eradication corruption. From results critical analysis, it known diametrical division issue result identity emerged after 2014 Presidential Election. In every discussion discourse, conflict between Islamic populism Nationalist-Secular populism.