Information-theoretic models of deception: Modelling cooperation and diffusion in populations exposed to 'fake news'

Autor: Carlo Kopp, Bruce Mills, Kevin B. Korb
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Economics
Computer science
Social Sciences
Systems Science
01 natural sciences
010305 fluids & plasmas
Sociology
Agent-Based Modeling
Psychology
Prisoner's Dilemma
media_common
education.field_of_study
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Social Communication
Social Networks
Social system
Physical Sciences
Social Systems
Medicine
Game theory
Network Analysis
Research Article
Cognitive psychology
Employment
Computer and Information Sciences
Deception
media_common.quotation_subject
Decision theory
Science
Population
Research and Analysis Methods
03 medical and health sciences
Game Theory
0103 physical sciences
Humans
Social media
education
Behavior
Information Dissemination
Biology and Life Sciences
Prisoner's dilemma
Models
Theoretical

Communications
Dilemma
030104 developmental biology
Labor Economics
Social Media
Mathematics
Zdroj: PLoS ONE, Vol 13, Iss 11, p e0207383 (2018)
PLoS ONE
ISSN: 1932-6203
Popis: The modelling of deceptions in game theory and decision theory has not been well studied, despite the increasing importance of this problem in social media, public discourse, and organisational management. This paper presents an improved formulation of the extant information-theoretic models of deceptions, a framework for incorporating these models of deception into game and decision theoretic models of deception, and applies these models and this framework in an agent based evolutionary simulation that models two very common deception types employed in "fake news" attacks. The simulation results for both deception types modelled show, as observed empirically in many social systems subjected to "fake news" attacks, that even a very small population of deceivers that transiently invades a much larger population of non-deceiving agents can strongly alter the equilibrium behaviour of the population in favour of agents playing an always defect strategy. The results also show that the ability of a population of deceivers to establish itself or remain present in a population is highly sensitive to the cost of the deception, as this cost reduces the fitness of deceiving agents when competing against non-deceiving agents. Diffusion behaviours observed for agents exploiting the deception producing false beliefs are very close to empirically observed behaviours in social media, when fitted to epidemiological models. We thus demonstrate, using the improved formulation of the information-theoretic models of deception, that agent based evolutionary simulations employing the Iterated Prisoner's Dilemma can accurately capture the behaviours of a population subject to deception attacks introducing uncertainty and false perceptions, and show that information-theoretic models of deception have practical applications beyond trivial taxonomical analysis.
Databáze: OpenAIRE
Nepřihlášeným uživatelům se plný text nezobrazuje