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January 1, 2026International Journal of Enterprise Network Management

Decoding User Behaviour: Identifying User's Prone to Misinformation Sharing on Social Media during Disasters

P. Sridevi Sobha Gopi Vimalam

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Key Points

To identify characteristics of users who are likely to share misinformation on social media during disaster events.
Data collection from social media platforms.
Behavioral analysis of user interactions with disaster-related content.
Identification of patterns related to misinformation sharing.
Increased sharing of misinformation correlates with emotional content.
Certain user demographics are more prone to sharing false information during crises.
Intervention strategies could reduce the spread of misinformation.

Implication

This analysis uncovers factors influencing misinformation sharing in social media during disasters, suggesting strategies for mitigation.

Abstract

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Cite This Study

Sridevi et al. (2026) studied this question.

synapsesocial.com/papers/69a67ec3f353c071a6f0a27e https://doi.org/10.1504/ijenm.2026.10076694

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