Determining Appropriate Social Media Sites for Knowledge Sharing

Abstract

The study aims at developing a fully developed and operational cloud-based published website for predicting appropriate social media for sharing knowledge during an outbreak. The media richness theory (MRT) is used in establishing the relationship between the richness of a social media platform, which is based on four criteria—ability to provide feedback, multiple cues, language variety, and personal focus—and the level of equivocality and uncertainty in the knowledge sharing task. A survey is used to gather data on the use of four social network sites (SNSs) (Facebook, Twitter, YouTube, and Instagram) that were mostly used for sharing knowledge during the COVID-19 pandemic. Data science techniques are used to analyze the data and develop a system for selecting appropriate social media for sharing knowledge.