Leveraging Social Computing for Personalized Crisis Communication using Social Media.

Area of Science:

• Social Computing
• Crisis Communication
• Public Health

Background:

• Social media is integral to modern communication, influencing psychological and behavioral responses during crises.
• During emergencies, public reliance on social media increases, offering authorities valuable insights.
• Effective communication is crucial for mitigating negative responses and ensuring public adherence to instructions.

Purpose of the Study:

• To present a conceptual framework for analyzing psychological aspects of crisis and risk communication via social media.
• To explore the integration of social computing and advanced analytical tools in emergency communication strategies.

Main Methods:

• Review of existing literature on social media, crisis communication, and social computing.
• Development of a conceptual framework for studying psychological dimensions of crisis communication.

Main Results:

• Advanced analytical tools can be integrated into crisis communication processes.
• Computational techniques facilitate Hyper-Targeted Crisis Communication for improved public engagement.
• Social media data analysis offers opportunities for enhanced situational awareness.

Conclusions:

• Utilizing computational tools for social media target-audience profiling and linguistic matching enables personalized emergency communication.
• This approach can lead to more sensitive and effective communication strategies during crises.
• The findings suggest a pathway for optimizing public response and safety through data-driven communication.