Understanding Social Media Platform Switching Through Sentiment and Usage Factors
DOI:
https://doi.org/10.61591/jslhu.26.1088Keywords:
Sentiment analysis, Support Vector Machine, Social media platform, Threads, Usage factorAbstract
This study analyzes user sentiment and application usage factors in the competition between X (formerly Twitter) and Meta’s Threads. User reviews from the Google Play Store and Apple App Store were examined using Support Vector Machine (SVM) for sentiment classification. The results were correlated with key usage factors: usability, features, design, and support. Findings show that user sentiment significantly influences engagement. Initial dissatisfaction with X contributed to positive sentiment toward Threads. However, as Threads’ engagement declined, users gradually returned to X. Correlation results also indicate negative relationships between similar factors across the platforms, highlighting competitive dynamics between social media applications.
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