Learned Insignificance of Credibility Signs
Viktoria Kainz, Justin Sulik, Sonja Utz, Torsten Enßlin

TL;DR
The paper explores how people lose the ability to assess credibility in complex information ecosystems, even when they use rational thinking.
Contribution
It introduces a novel agent-based model showing how deceptive behavior leads to unlearning of credibility cues and how this can be reversed in healthy environments.
Findings
Deceptive behavior by agents can cause others to discount objective cues of credibility.
False beliefs become resistant to correction in an emergent delusion-like state.
Exposure to healthy environments can rehabilitate the ability to discern credibility cues.
Abstract
A large part of how people learn about their shared world is via social information. However, in complex modern information ecosystems, it can be challenging to identify deception or filter out misinformation. This challenge is exacerbated by the existence of a dual‐learning problem whereby: (1) people draw inferences about the world, given new social information; and simultaneously (2), they draw inferences about how credible various sources of information are, given social cues and previous knowledge. In this context, we investigate how social influence and individual cognitive processing interact to explain how one might lose the ability to reliably assess information. Crucially, we show how this happens even when individuals engage in rational belief updating and have access to objective cues of deception. Using an agent‐based model, the Reputation Game Simulation, we show that…
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Taxonomy
TopicsMisinformation and Its Impacts
