Susceptibility to Disinformation: A Data‐Driven Typology Based on COVID‐19 Hoaxes and Pro‐Russian Propaganda
Martina Klicperova‐Baker, Martin Jelinek, Petr Kveton

TL;DR
This study identifies five types of people based on their susceptibility to disinformation about the pandemic and the Russian invasion of Ukraine, using data from the Czech Republic.
Contribution
The paper introduces a data-driven typology of disinformation susceptibility combining medical and political contexts.
Findings
Four factors underlie disinformation susceptibility: medical, political, economic, and moral/ethical.
Five distinct response types were identified, including a large group with no strong opinion.
A moderate correlation was found between susceptibility to medical and political disinformation.
Abstract
An original dataset based on a national quota sample in the Czech Republic (n = 490, M = 46.09 y/o, 45.7% women) was used to assess susceptibility to medical (COVID‐19) and political (Russian invasion of Ukraine) disinformation. Susceptibility to disinformation was assessed using 30 items addressing contemporary topics. To identify the latent structure underlying these items, an exploratory factor analysis (principal‐axis factoring with direct oblimin rotation) was conducted. EFA yielded four correlated factors: one specific to COVID‐19 hoaxes/misinformation (F1) and three others pertaining to the political (F2), economic (F3), and moral/ethical (F4) dimensions of the Russian war. In order to identify response patterns, all 30 items from 490 participants were subjected to Latent Profile Analysis (LPA) in which the EFA factors served to interpret the five resulting types: a neutral No…
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Taxonomy
TopicsMisinformation and Its Impacts · Cybersecurity and Cyber Warfare Studies · Media Influence and Politics
