Real and Virtual Happiness Prediction Model Based on Multiple Regression analysis by Instagram Social Network

People are gradually accustomed to sharing everything in their lives and managing interpersonal relationships on the social network. Sharing or expressing emotions in any way through text, videos, etc., will make people feel a real sense of face-to-face, using the above research to study how many people are affected by happiness. The main purpose of this research is to take users of social networks as the research object, and to explore the behavior intentions of the sharers and viewers will be affected by each person's different real feelings, and feel a sense of happiness. Therefore, this study used a questionnaire survey to systematically sort and analyze all the collected data. The questionnaire was randomly distributed before the survey, and the questionnaires were ambiguous and unable to explain the facets. The substantive content was discussed and corrected to facilitate the survey. After the modification, there were 391 online questionnaires and valid questionnaires. The results pointed out that the higher the degree of social Network-Instagram users through self-disclosure or emotional sharing, the more happiness they can enhance through social presence.