Analysing Perception of Credibility of a Message in Online Social Network using SmartPLS

Nowadays online social networks are used to share information, but analyzing the information’s credibility is imperative. The study’s primary goal is to examine how 3 factors influence users’ acceptance of messages in online social networks. 1. content likeability: which is a method of assessing the information value of social media content, 2. content legitimacy: the dissemination of false information poses a serious risk to our democracy since it can erode public confidence in reliable news sources, and 3. social media involvement: for many people, social media is their main source of information because it is a pervasive and ubiquitous digital communication tool. we use the dataset from Credibility Coalition which is a research community that promotes cooperative methods for comprehending the accuracy, reliability, and trustworthiness of online information, which is the cornerstone of civil society. Furthermore, the content credibility is analyzed using SmartPLS software, here sets of observable variables are used to measure the credibility of messages.