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

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.