SENTIMENT ANALYSIS OF DIRECT AND INDIRECT ELECTIONS ON X USING INDOBERT
DOI:
https://doi.org/10.46874/8tykhm20Keywords:
sentiment analysis, social media X, direct and indirect elections, political participation, IndoBERTAbstract
Social media X (Twitter) has become a digital public sphere where users frequently express political opinions. Discussions concerning direct and indirect local elections often appear through posts and public responses on the platform. These conversations may reflect public attitudes and levels of participation in democratic process. This study aims to examine trends in public sentiment toward direct and indirect election systems using data collected from social media X. This study applies a quantitative approach using web scraping techniques through the tweet-harvest library to collect public tweets. The data were subsequently cleaned and analyzed using the IndoBERT model to understand the context of the Indonesian language and classify user opinions into three sentiment categories: positive, negative, and neutral. The findings indicate that negative sentiment tends to be more dominant, particularly in discussions regarding indirect elections. This suggests that concerns, doubts and resistance toward the issue remain present among parts of the public, although positive sentiment is also evident. Overall, conversations on social media X may provide valuable insights into public perceptions of local electoral systems and political participation in the digital era.
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