Persuasive communication from a military force to local civilians: A PsyOps system based on the Elaboration Likelihood Model

Bergier, Jean-Yves; Faucher, Colette

doi:10.1109/icci-cc.2016.7862029

Cited by 3 publications

(3 citation statements)

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“…Through a variety of situational and personal characteristics affecting elaboration likelihood, the motivation and the ability factors have received the most attention from ELM researchers. 5 We integrate the elaboration motivation aspect in our framework as a computation of the DI (Block 1 in Figure 5). It is determined by various variables detailed by Bergier and Faucher.…”

Section: Methodsmentioning

confidence: 99%

“…It is determined by various variables detailed by Bergier and Faucher. 5 Here is only detailed the measure of the motivation to the message theme expressed by the receiver, by Involvement by Cultural Features (ICFs). Let q be the number of cultural features of { cf 1 , …, cf n } with a value above a certain threshold in Cultural value system (i) and imp i , …, imp n be their respective importance:…”

Section: Methodsmentioning

confidence: 99%

“…In the information propagation process, the simulation of cognitive processes supporting message treatment involving agent features and the representation of a relevant socio-cultural context are the two most important elements taken into account. 5 In the context of this project, we developed a tool used to generate an artificial population (creating the nodes and the network) based on the actual socio-demographic data and depending on the study specification level. 6 Modeling population needs understanding of the specific norms and ways the society organizes itself.…”

Section: Introductionmentioning

confidence: 99%

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Discrete Event System Specification-based framework for modeling and simulation of propagation phenomena in social networks: application to the information spreading in a multi-layer social network

et al. 2018

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The diffusion of information is defined as the communication process by which an idea or information spreads within a social system and impacts the behavior of social actors (individuals). The social interaction plays an important role in studying the propagation of information and how it influences people. When an informational event occurs, it can either die out quickly or have significant impact on a population. The interactions could be supported by physical proximity contact, remote collaboration, any type of social meetings, and some forms of verbal or written communication, depending on the situations. Institutions and firms search to understand and predict the impact of information propagation on individuals. Agent-based modeling is a powerful approach for studying such a collective process. However, existing models oversimplify the cultural attributes, the different types of links, and information content, despite the evidence of their central role in the diffusion process. In this context, great benefits could be derived from the exploitation of an individual’s personality and cultural values in the diffusion models. In this paper, we describe a new architecture for an agent-based model using the DEVS (Discrete Event System Specification) framework and show how this architecture is flexible and can support the simulation of the dissemination process. In more detail, we define a set of models of individuals characterized by a set of state variables to represent the behavior of an individual and the individual’s network within a multi-layer social network. Then, we start by introducing the platform architecture, specifically designed to simulate message propagation in a multi-layer network. Finally, a military scenario of message diffusion during a stabilization phase is used to test our DEVS models on the platform and the relevancy of the simulation results.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%