Governance for Handling Fake News: Structural Modeling Approach

Abstract

  The primary objective of this study was to assess and evaluate the impact of government intervention in countering Internet-based fake news that threatens national security. The research used statistical methods and a survey approach to collect data from a sample population. The sampling technique employed was simple random sampling, while data collection involved conducting interviews with selected individuals who possessed insights from relevant organizations such as the national police, BSSN, Kemenkominfo, and BIN. A statistical method called Partial Least Square (PLS) model using the WarpPLS package was applied to analyse the gathered data. The study's findings demonstrated a strong association between effective governance in combating the dissemination of fake news and the enhancement of national resilience. Consequently, it was concluded that implementing robust and strategic governance practices is crucial for fostering national resilience.