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A logic for biassed information diffusion by paranoid agents in social networks

Abstract: Information transmission in social networks is riddled with issues of reliability and trustworthiness. One of the main sources of disinformation can be traced back to agents—human or artificial—whose political or cultural agenda is guided by conspiracy theories. Modelling and understanding the behaviour of such agents within social networks is therefore crucial to approach the disinformation problem. In the present paper, we formulate the logic (un)SecureNDsim*, equipped with a proof-theory and a relational semantics in which negative trust relations are defined formalizing the attitude of paranoid agents, i.e. agents distrusting any information originating from the authority and thereby spreading what can be characterized as the content of conspiracy theories. The logic is implemented in a multi-agent simulation aimed at analysing the effects of conspiracy theorists in networks of agents. In particular, we analyse consensus reaching scenarios and the ability of paranoid agents to induce the spread of potentially false information.

Lorenzo Prandi, Giuseppe Primiero, A logic for biassed information diffusion by paranoid agents in social networks, Journal of Logic and Computation, 2022;, exac020, https://doi.org/10.1093/logcom/exac020

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New Publications in the Philosophy of Computational Sciences

Three new publications have just come out from members of our group on philosophical and epistemological aspects related to the computational sciences:

  • Marcello D’Agostino together with Massimo Durante (University of Turin) analyse the issue of the governance of algorithms in information societies in their introduction to a Special Issue in Philosophy & Technology
  • Hykel Hosni together with Angelo Vulpiani (Accademia dei Lincei, Roma) critically assess the role of big data in forecasting in an article for the same Special Issue
  • Giuseppe Primiero presents an epistemology for agent-based simulations in the Artificial Sciences in a paper for Minds & Machines.

Details in our Recent Publications page.