Analysis of Social Influence, Trust, and Accuracy on Actual Use of Social Media Messaging Application Based on Information Security Model

Social media messaging applications have become increasingly popular for interpersonal interactions, allowing users to exchange text, audio, and video files. However, ensuring the security and privacy of the transmitted data has emerged as a significant concern. Previous studies have identified issues with data security, privacy, and the spread of misinformation on social media platforms, including the lack of secure chat features and the dissemination of fake information during the COVID-19 pandemic. This research aims to address the gaps in earlier studies by investigating the relationship between factors such as Social Influence, Trust, Accuracy, and the Actual Use of Social Media Messaging Applications. The study utilized an Information Security Model and employed the Partial Least Squares (PLS) technique. Data was collected through the Snowball Sampling method and analyzed using Six Likert scales. The results indicated that Trust had no significant influence on the actual use of the application, while Accuracy and Social Influence accounted for 13.4% and 21.9% respectively. The R Square value of 30.46% suggested that the factors considered in the study explained 30.46% of the overall variance, leaving room for future research to explore additional components.