An integrated model for combating disinformation on social media: behavioural patterns, public attitudes and effective intervention strategies
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Abstract
This course paper examines how young adults perceive, evaluate, and respond to disinformation on social media, using quantitative data collected from 180 respondents. The study combines several analytical methods—correlation, regression, cluster segmentation, and chi-square testing—to identify behavioural patterns and predictors of users’ reactions to false content. The research further evaluates the effectiveness of an integrated approach that merges educational, technological, and regulatory measures in order to build long-term resilience against disinformation. Findings reveal a clear gap between confidence and actual behaviour, variations in trust across media types, and three distinct user profiles that require differentiated interventions. The study contributes to current debates on digital literacy and online safety by offering a comprehensive framework for combating misinformation in contemporary digital environments.
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