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Research on infodemics, i.e., the rapid spread of (mis)information related toa hazardous event, such as the COVID-19 pandemic, requires the integration of amultiplicity of scientific disciplines. The dynamics emerging from infodemicshave the potential to generate complex behavioral patterns. In order to reactappropriately, it is of ultimate importance for the fields of Business andEconomics to understand the dynamics emerging from it. In the short run,dynamics might lead to an adaptation in household spending or to a shift inbuying behavior towards online providers. In the long run, changes ininvestments, consumer behavior, and markets are to be expected. We argue thatthe dynamics emerge from complex interactions among multiple factors, such asinformation and misinformation accessible for individuals and the formation andrevision of beliefs. (Mis)information accessible to individuals is, amongstothers, affected by algorithms specifically designed to provide personalizedinformation, while automated fact-checking algorithms can help reduce theamount of circulating misinformation. The formation and revision of individual(and probably false) beliefs and individual fact-checking and interpretation ofinformation are heavily affected by linguistic patterns inherent to informationduring pandemics and infodemics and further factors, such as affect, intuitionand motives. We argue that, in order to get a deep(er) understanding of thedynamics emerging from infodemics, the fields of Business and Economics shouldintegrate the perspectives of Computer Science and Information Systems,(Computational) Linguistics, and Cognitive Science into the wider context ofeconomic systems (e.g., organizations, markets or industries) and propose a wayto do so.

Understanding the dynamics emerging from infodemics: A call to action for interdisciplinary research