| Popis: |
Political polarization has long been a central topic for political science. This study investigate the phenomenon of political polarization in Indonesian news media landscape during the 2019 Presidential Election. We represent the media landscape as a network of news media based on their shared audience, and implement community detection algorithms to extract media clusters. We also construct a time series of media network and explore the dynamics of polarization during the observation period. The study confirms the existence of political polarization in the global and temporal networks of Indonesian news media, and shows that Twitter users' news consumption behavior is highly polarized. We also reveal periods with higher and lower polarization throughout the observation period, namely the degree of polarization in the media landscape is already high from the start of the observation, relaxes quickly after the election, and then reaches its maximum prior to the announcement of the official results. |
