Abstract

Social networks are filled with a large amount of misinformation, which often misleads the public to make wrong decisions, stimulates negative public emotions, and poses serious threats to public safety and social order. The spread of misinformation in social networks has also become a widespread concern among scholars. In the study, we took the misinformation spread on social media as the research object and compared it with true information to better understand the characteristics of the spread of misinformation in social networks. This study adopts a deep learning method to perform content analysis and emotion analysis on misinformation dataset and true information dataset and adopts an analytic network process to analyze the differences between misinformation and true information in terms of network diffusion characteristics. The research findings reveal that the spread of misinformation on social media is influenced by content features and different emotions and consequently produces different changes. The related research findings enrich the existing research and make a certain contribution to the governance of misinformation and the maintenance of network order.

Highlights

  • Misinformation is an objective social phenomenon that appears in the social operation environment

  • We show the analysis results and discussions, mainly involving the analysis of the content and emotions spread by true information and misinformation on social media

  • As one of the most popular social media platforms in China, Sina Weibo has about 530 million active users and has established a huge online social network, which provides rich data sources to investigate the spread of misinformation in social networks

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Summary

Introduction

Misinformation is an objective social phenomenon that appears in the social operation environment. When faced with misinformation, the uncertainty of the future and the lack of access to information will increase the psychological pressure of the public, causing anxiety and panic among the public [7] At this time, under the influence of rumors and misleading information, the public is very likely to be trapped by the group, amplifying mass panic, triggering collective social crisis, and even leading to various social tragedies [8]. Security and Communication Networks as fast propagation speed, a wide range of influence, and deep impact On this basis, it is urgent to understand the propagation process of misinformation on social media and to govern misinformation [9]. We present the conclusion of the research and further put forward future ideas for the research

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