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  1. Why Populists Do Well on Social Networks.Kai Spiekermann - 2020 - Global Justice : Theory Practice Rhetoric 12 (2):50-71.
    A link between populism and social media is often suspected. This paper spells out a set of possible mechanisms underpinning this link: that social media changes the communication structure of the public sphere, making it harder for citizens to obtain evidence that refutes populist assumptions. By developing a model of the public sphere, four core functions of the public sphere are identified: exposing citizens to diverse information, promoting equality of deliberative opportunity, creating deliberative transparency, and producing common knowledge. A wellworking (...)
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  • Pluralistic ignorance in the bystander effect: informational dynamics of unresponsive witnesses in situations calling for intervention.Rasmus Kraemmer Rendsvig - 2014 - Synthese 191 (11):2471-2498.
    The goal of the present paper is to construct a formal explication of the pluralistic ignorance explanation of the bystander effect. The social dynamics leading to inaction is presented, decomposed, and modeled using dynamic epistemic logic augmented with ‘transition rules’ able to characterize agent behavior. Three agent types are defined: First Responders who intervene given belief of accident; City Dwellers, capturing ‘apathetic urban residents’ and Hesitators, who observe others when in doubt, basing subsequent decision on social proof. It is shown (...)
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  • Dynamic Epistemic Logics of Diffusion and Prediction in Social Networks.Alexandru Baltag, Zoé Christoff, Rasmus K. Rendsvig & Sonja Smets - 2019 - Studia Logica 107 (3):489-531.
    We take a logical approach to threshold models, used to study the diffusion of opinions, new technologies, infections, or behaviors in social networks. Threshold models consist of a network graph of agents connected by a social relationship and a threshold value which regulates the diffusion process. Agents adopt a new behavior/product/opinion when the proportion of their neighbors who have already adopted it meets the threshold. Under this diffusion policy, threshold models develop dynamically towards a guaranteed fixed point. We construct a (...)
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  • Logical Dynamics and Dynamical Systems.Rasmus Kraemmer Rendsvig - unknown
    This thesis is on information dynamics modeled using *dynamic epistemic logic*. It takes the simple perspective of identifying models with maps, which under a suitable topology may be analyzed as *topological dynamical systems*. It is composed of an introduction and six papers. The introduction situates DEL in the field of formal epistemology, exemplifies its use and summarizes the main contributions of the papers.Paper I models the information dynamics of the *bystander effect* from social psychology. It shows how augmenting the standard (...)
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  • Science Bubbles.David Budtz Pedersen & Vincent F. Hendricks - 2014 - Philosophy and Technology 27 (4):503-518.
    Much like the trade and traits of bubbles in financial markets, similar bubbles appear on the science market. When economic bubbles burst, the drop in prices causes the crash of unsustainable investments leading to an investor confidence crisis possibly followed by a financial panic. But when bubbles appear in science, truth and reliability are the first victims. This paper explores how fashions in research funding and research management may turn science into something like a bubble economy.
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