Model of Negative Emotional Information Communication among Netizens under Corporate Negative Events

Rui Shi · Xiaoyong Hou · Chang Liu

8 citations0/0 files storedMathematical Problems in Engineering

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Public Relations and Crisis Communication Complex Network Analysis Techniques Opinion Dynamics and Social Influence

Abstract

Corporate negative events have been frequently exposed in the information age. Research on the dissemination mechanism of negative emotional information for netizens contributes corporates to monitor public opinion trends and resolve public opinion crises. Combining emotional infection theory and the classic infectious disease model, we first divided emotional communication stage into individual and group propagation stages and constructed the SEI1I2R model of negative emotional information communication among netizens under corporate negative events. Then, we performed the model analysis and simulation. Results indicated that trust and communication conversion rates are in direct proportion to negative emotional diffusion speed; corporate response rate is inversely proportional to negative emotional diffusion speed; however, the effects of self-regulation are insignificant.

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References

1993Emotional Contagion 2013Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior 2009Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review 2004EMOTIONS IN ORGANIZATIONS: A MULTI-LEVEL PERSPECTIVE 2020An ensemble machine learning approach through effective feature extraction to classify fake news 2007Understanding Influence on Corporate Reputation: An Examination of Public Relations Efforts, Media Coverage, Public Opinion, and Financial Performance From an Agenda-Building and Agenda-Setting Perspective 1997Individual differences in emotional contagion of salespersons: Its effect on performance and burnout 2019Corporate Social Responsibility and the Market Reaction to Negative Events: Evidence from Inadvertent and Fraudulent Restatement Announcements

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