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The aim is to analyze the effects of misinformation on mental health using a transformer-based model.

February 21, 2026Discover Mental HealthOpen Access

Enhancing online well-being through transformer-based analysis of misinformation and mental health

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The aim is to analyze the effects of misinformation on mental health using a transformer-based model.
Developed a hybrid model combining RoBERTa and LSTM architectures.
Designed to identify misinformation, assess psychological impact, and classify mental health disorders.
Utilized a statistical analysis to evaluate the association between misinformation exposure and mental health outcomes.
Achieved 98.4% accuracy for misinformation detection.
Attained 87.8% accuracy for mental health assessment.
Achieved 77.3% for disorder classification.
Established a significant association between deceptive information exposure and negative mental health outcomes (p-value = 0.003871).

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Demonstrates the impact of a hybrid model on mental health outcomes in diverse language contexts, suggesting new interventions.

Arora et al. (2026) studied this question.

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