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Trust and distrust in contradictory information transmission.

Applied network scienceยท2018
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Effects of misinformation diffusion during a pandemic.

Lorenzo Prandi1, Giuseppe Primiero1

  • 1Department of Philosophy, University of Milan, Milan, Italy.

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Misinformation spread during pandemics, or misinfodemics, significantly worsens disease outbreaks. This study models how malicious agents spread false information, impacting public health policies and societal outcomes during pandemics like COVID-19.

Keywords:
COVID-19MisinfodemicMisinformationMulti-agent system

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Area of Science:

  • Epidemiology
  • Sociology
  • Computational Social Science

Background:

  • The spread of misinformation (misinfodemics) is a critical factor during pandemics.
  • Understanding the sources and transmission of false information is essential for public health.
  • Low trust in institutions is linked to the endorsement of conspiracy theories.

Purpose of the Study:

  • To analyze the role of malicious agents in spreading misinformation during a pandemic.
  • To model the impact of misinfodemics on disease diffusion and public health interventions.
  • To investigate the effects of misinformation on societal responses to pandemics, using COVID-19 in Italy as a case study.

Main Methods:

  • Agent-based simulation modeling the transmission of misinformation.
  • Incorporation of a negative trust relation to represent the spread of false information.
  • Analysis of the influence of misinfodemics on public health policies (lockdowns, isolation, distancing).

Main Results:

  • Misinformation diffusion by malicious agents significantly impacts pandemic dynamics.
  • Misinfodemics exacerbate the negative consequences of a pandemic on public health and society.
  • The study quantifies the detrimental effects of false information on pandemic control measures.

Conclusions:

  • Misinformation poses a substantial threat during pandemics, amplifying disease spread and undermining control efforts.
  • Targeting misinformation sources and building public trust are crucial for effective pandemic management.
  • Agent-based modeling provides valuable insights into the complex interplay between information, behavior, and disease transmission.