4.6 Article

Choosing Response Strategies in Social Media Crisis Communication: An Evolutionary Game Theory Perspective

期刊

INFORMATION & MANAGEMENT
卷 58, 期 6, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.im.2020.103371

关键词

Social media crisis communication; Crisis communication response strategy; Evolutionary game theory

资金

  1. Ernst Mach Grant Eurasia-Pacific Uninet

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In a social media crisis, a company's choice of response strategy can influence the evolution of user behavior and must consider potential impact of stakeholders and negative public opinion. Through modeling, case studies, and numerical simulations, researchers have identified potential effects on crisis response strategies for companies.
When a company experiences the proliferation of negative information on social media, typically as a result of an incident in the real world, the company must decide whether to react positively, such as by responding in a timely manner, disclosing the facts, or offering an apology or compensation, or by reacting negatively with a denial or threat of legal actions. Before responding, the company should consider the potential impacts due to the different reactions of stakeholders. A company's ideal choice of strategy during a social media storm depends on the costs of that strategy for the company and the likelihood that netizens will publicly condemn the company on social media. In this study, we employ a model based on evolutionary game theory to investigate crisis communication on social media. The results show that the company's choice of response strategy influences the evolution of the strategy pursued by Internet users. In the base model, we consider three possible actions for netizens on social media in reaction to an incident: ignoring the incident, noticing the incident but staying silent, and condemning the company and transmitting negative information. Subsequently, we extend the base model to consider complex network structures and defensive behavior. We also studied real-world cases of social media crisis communication and conducted numeric simulations with different parameters in order to determine the evolutionary equilibrium in different situations, which may inform the crisis response strategy selected by companies.

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