Application for Selecting Legislative Candidates with Social Media Data that Influences Election Decisions

Numerous studies have explored legislative election candidates, yet there remains a significant gap in understanding the impact of social media analysis on election choices. This research investigates the analysis of campaign news disseminated through social media platforms in shaping voter polling trends. A significant challenge encountered in the digital world is the prevalence of fake accounts and bots that can increase the number of followers and distinguish between fake and genuine comments, thereby enhancing the reputation of legislative candidates. Therefore, this requires the implementation of social media analysis reports combined with survey questionnaire results that directly reflect the opinions of supporting respondents. The data obtained from this survey is then visualized in the report. The methodological approach uses analysis from social media news combined with data processing using the pls sem model from questions given to respondents. The primary goal of this research is to provide valuable insights for legislative candidate nominations, particularly in understanding campaign trends and accurately measuring the extent of real-time support on social media platforms.