Social Media Data: Challenges, Mitigation Strategies, and Opportunities for Disaster Management

Abid, Samia; Mishra, Bhupesh Kumar; Younis, Usama; Thakker, Dhavalkumar; Mishra, Nishikant

Abstract

For disaster management, the accurate and timely availability of factual information is crucial for effective decisionmaking and response. Traditional communication channels are either costly or do not provide real-time data. Here comes the role of social media data due to its ability to swiftly disseminate real-time information, allowing for community engagement and situational awareness of the disasters. However, leveraging social media data for this application is not without challenges. It is quite challenging to deal with the four Vs-volume, velocity, variety, and veracity of the social-media data to increase its value for decision-making. To overcome these challenges and enhance the quality of data, implementing robust techniques and strategies is of profound importance. This paper highlights critical challenges associated with using social media data in disaster management and proposes a comprehensive framework of methods, techniques, algorithms, and methodologies to improve data quality. By systematically addressing these challenges, we can harness the full potential of social media data to support disaster response efforts and ultimately save lives.

Citation

Abid, S., Mishra, B. K., Younis, U., Thakker, D., & Mishra, N. (2024, December). Social Media Data: Challenges, Mitigation Strategies, and Opportunities for Disaster Management. Presented at 2024 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 International Conference on Frontiers of Information Technology (FIT)
• Start Date: Dec 9, 2024
• End Date: Dec 10, 2024
• Acceptance Date: Jan 9, 2025
• Online Publication Date: Jan 17, 2025
• Publication Date: Dec 9, 2024
• Deposit Date: Jan 23, 2025
• Publicly Available Date: Mar 14, 2025
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 1-6
• DOI: https://doi.org/10.1109/fit63703.2024.10838417
• Public URL: https://hull-repository.worktribe.com/output/5007637