Empirical Research on the Influence Model of Social Media Users' False Information Conformity Spreading Behavior

  • Mo Zuying ,
  • Wang Kaishuo ,
  • Zhao Yueming
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  • School of Information Management,Zhengzhou University of Aeronautics,He’nan,450046

Online published: 2023-02-13

Abstract

[Purpose/significance] In the social media environment, false information is easy to spread from the public, resulting in network public opinion and serious social harm. The purpose of this study is to explore the influencing fac? tors and paths of social media users’false information conformity dissemination behavior, and to construct an influence model. This study can help reduce the blind conformity of social media users and determine the direction of social me? dia platform control. [Method/process] Based on conformity theory, this paper constructs the influence model of social media users’false information conformity behavior from three aspects of group factors, individual factors and situation? al factors, and designs specific measurement scales. Based on 362 valid questionnaires, SPSS23.0 and AMOS26.0 were used for data analysis and model validation. [Result/conclusion] Group factors have the greatest influence on the con? formity dissemination behavior of false information, much higher than individual factors and situational factors, and group cohesion is the key core influencing factor. Among individual factors, user involvement and related knowledge ex? perience positively influence individual reputation, and then positively influence false information dissemination behav? ior, and the influence of user involvement is greater. Among situational factors, information heat positively affects situa? tional ambiguity, and then negatively affects users’conformity dissemination behavior, with the smallest effect, indicat? ing that social media users have a rational attitude towards uncertain information. Based on the above conclusions, this paper proposes to create a good group atmosphere, strengthen the management and guidance of certification accounts, focus on event information closely related to public life, and increase penalties for false information dissemination.

Cite this article

Mo Zuying , Wang Kaishuo , Zhao Yueming . Empirical Research on the Influence Model of Social Media Users' False Information Conformity Spreading Behavior[J]. Information and Documentation Services, 2023 , 44(1) : 72 -81 . DOI: 10.12154/j.qbzlgz.2023.01.007

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