Exploring the Relationship Between Coordinated Political Communication Activities and Public Sentiment on Platform X Through an Integrated Data Analytics Framework During the First 100 Days of the Prabowo Administration
DOI:
https://doi.org/10.35870/ijsecs.v6i2.7524Keywords:
Political Buzzer, Sentiment Analysis, Digital Propaganda, Data Analytics, Social Network AnalysisAbstract
The rapid growth of social media has transformed political communication patterns in Indonesia, particularly on platform X, which has become an important medium for public opinion formation and digital political discourse. This study aims to examine the relationship between coordinated account activities and public sentiment regarding the performance of President Prabowo Subianto’s government during the first 100 working days of his administration. A quantitative data analytics approach was employed using 10,000 public posts collected from platform X between October 20, 2024, and January 29, 2025. The study combined text mining, sentiment analysis, social network analysis, and statistical analysis to identify dominant narratives, sentiment distribution, coordinated account activity patterns, and their relationship with public sentiment. The results showed that the dominant narratives focused on the Free Nutritious Meal Program, public satisfaction, and corruption eradication. Sentiment analysis indicated that 62% of the posts were classified as positive, while social network analysis identified centralized interaction patterns among accounts classified as political buzzers. Statistical analysis showed a significant positive relationship between buzzer activity and positive sentiment, with a Pearson correlation coefficient of 0.78 (p < 0.01). Linear regression analysis further indicated that posting frequency, hashtag quantity, and retweet counts collectively explained 65% of the variation in positive public sentiment. These findings indicate that coordinated communication activities were associated with the concentration of positive narratives and higher engagement levels on platform X. This study contributes to research on digital political communication and data analytics by combining text mining, sentiment analysis, social network analysis, and statistical modeling to examine coordinated political communication activities. The findings also indicate the need for stronger digital literacy and monitoring approaches to identify coordinated digital propaganda activities on social media.
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