Work

Susceptibility to Disinformation: A Data‐Driven Typology Based on COVID ‐19 Hoaxes and Pro‐Russian Propaganda

Year: 2026

Type: article

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 Strong Opinion type (48%); two disinformation-resilient types-Rational Pro-Ukrainians (22%) and Anti-Russians (7%); and two disinformation-susceptible types-Pro-Russians (15%) and the Generally Disinformed (9%). The discussion addresses the sizable No Strong Opinion type and the correlation between COVID-19 hoaxes and propaganda disinformation (r = 0.47), which supports the 'monological belief system' concept. The identified types can be further followed prospectively and retrospectively within an ongoing panel study.

Source: International Journal of Psychology

DOI: 10.1002/ijop.70186

Authors: Martina Klicperova‐Baker, Martin Jelinek, Petr Kveton

Institutions: Czech Academy of Sciences, Czech Academy of Sciences, Institute of Psychology

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,570