<p>The spread of false news on the internet has generated a great deal of attention and undermined the credibility of both the media and government. The growing relevance of algorithmic censorship and the control of the media has helped to exacerbate the challenges the public have in distinguishing between information and false information. In the digital age, the public should be aware of how this interacts and challenges their trust.&#xa0;The aim of the research is to examine the impact of misinformation exposure, algorithmic censorship, and the awareness of media manipulation on the level of trust of people in online and offline media with the consideration of age, education level, and digital literacy as demographic variables.&#xa0;The proposed work was carried out based on the quantitative survey in order to receive the data concerning 200 participants. The statistical methods (descriptive statistics, correlation analysis, regression modelling) were applied in the study of the relationships between the independent variables (misinformation exposure, censorship, media manipulation) and the dependent variable (public trust). It was also placed under the control of demographics in order to understand how it affects the construction of the perception of participants.&#xa0;The effect size analysis showed that the exposure to misinformation, algorithmic censorship and media manipulation awareness had a moderate to large degree of practical influence on public trust (Cohen’s d = 0.53–0.59). This highlighted the considerable impact of digital information dynamics even though their influence was not statistically significant in the regression model after controlling for demographic factors.</p>