Multi-mediating effect research: how does the irrelevant information overload from social media networks influence living disorders?

Abstract

Irrelevant information overload may impair many people's lifestyles due to the accelerated growth of digital technology in recent years. Nevertheless, little study has been conducted on the impact of information overload (IO) in the context of irrelevant information. The “multi-mediating effect research: How does the irrelevant information overload from social media networks influence living disorders?” builds a model and estimates the factors related to information overload that affect users’ well-being, specifically living disorders (LD). The official data for this study were derived from survey questionnaires with 396 valid responses from Vietnamese citizens born between 1997 and 2012. To verify the model and hypotheses, the authors used reliability analysis techniques such as Cronbach's Alpha and Composite reliability, Exploratory Factor Analysis (EFA, Structural Equation Model (SEM) with PLS-SEM algorithm, and Bootstrapping analysis with SmartPLS 3.0. The study team additionally delivered recommendations to SNS users, developers, and the government on better algorithm innovation for SNSs and their appropriate and mindful use.