Social-Politic in a Pandemics Indonesian Citizens’ Twitter Conversation Analysis using Latent Dirichlet Allocation

During the COVID-19 pandemic, there has been an increase in communication through social media. However, this is not accompanied by the level of citizen discipline where the high spread of false issues causes problems in the social and political fields. This study aims to look at the views of the community during the COVID-19 pandemic regarding Social and Political. The research method uses Latent Dirichlet Allocation Analysis to extract topic cluster of political and social during COVID-19 pandemic in Indonesia. The results of this study indicate a public view that considers the COVID-19 pandemic to be a tool, interest, or political game, and social concerns have increased considerably during the COVID-19 pandemic. During COVID-19, the increase in public communication through social media has become a driving force for other social activities that can ease the burden on the community. Besides that, the community seems wise enough to choose which news is fake and what is true.