Research on the Credibility of Social Media Information Based on User Perception

Jiaxi Sun,Chi-Hua Chen

doi:10.1155/2021/5567610

Abstract

In order to accurately obtain the credibility of social media information, improve the efficiency of credibility evaluation, and enhance the security of social media, this paper proposes a method for evaluating the credibility of social media information based on user perception. Starting from the three dimensions of subject credibility, source credibility, and content credibility, the information credibility evaluation dimensions are analyzed. According to the information credibility evaluation dimension, establish a social media information database and deal with spam in the database. Perform credit evaluation based on the results of various data analyses in the database, and extract meaningful keywords from social media information through feature selection algorithms to form keyword clusters. Finally, based on user perception theory, the credibility evaluation of social media information is realized. The experimental results show that the quantitative results of the method for evaluating the credibility of social media information are close to the actual situation, the evaluation results obtained are more accurate, and the evaluation time is short, which can provide a theoretical basis for supervision and management.

Highlights

Social media is different from traditional media in the past, such as newspapers, radio, and television
Evaluation of the Credibility of Social Media Information Based on User Perception
Evaluation Method of the Credibility of Social Media Information Based on User Perception

Summary

Introduction

Social media is different from traditional media in the past, such as newspapers, radio, and television. Erefore, according to the social media information characteristics obtained, combined with the user perception theory, based on the information communication theory and information dual processing theory, and the heuristic systematic cognitive model as the basic framework, this study selects information quality as the systematic variable in the research, the communicator credibility, communication motivation, information presentation form, and information media credibility are heuristic variables, the individual information involvement and trust tendency are moderating variables, and the perceived information credibility is dependent variable. Based on the theory of user perception, the source of social media information and content changes in the process of cross-platform communication can be tracked. The optimization design of social media information evaluation methods is realized

Experimental Design

Analysis of Experimental Results

Media type Baidu Weibo

Conclusion