The Use of Social Media and UAVs in Emergency Situations: A Review
Keywords:
Social Media, Unmanned Aerial Vehicles, UAV, Drones, Emergency Situations, Disaster, Review
Abstract
Over the past few years, extensive and widespread integration of unmanned aerial vehicles (UAVs) and social media has been observed in emergencies. In the present study, an inclusive outline regarding the practice of social media and UAVs in emergency situations along with the prospective impacts they may have on emergency response has been explained.
Some of the key social media sites like Facebook, Instagram, Twitter, and TikTok can be used as valuable means of information sharing in emergencies. Social media data can help authorities detect and counter emergency situations effectively without any delay. Through machine learning algorithms, social media data can instantly be analyzed by monitoring social media activities such as recognizing hashtags, keywords, images, videos, and other signs indicating any possible emergencies.
Sensor-equipped UAVs are capable of providing real-time data in emergencies. These can help in detecting the existence of any harmful substances in the atmosphere including radiation or lethal gases. Similarly, they can help in mapping affected regions, recognizing possible risks, and calculating damages. Authorities and emergency responders can make reasonable decisions and carry out mandatory measures quickly with the help of real-time data obtained from UAVs.
Using UAVs and social media in emergencies leads to increased communication between people and emergency responders. Authorities can use social media sites to quickly circulate important information among the masses like safety tips and evacuation orders. On the other hand, the public can report emergencies and share useful data with emergency responders through social media. UAVs may also prove useful in communicating with emergency responders in remote areas lacking traditional channels of communication.
The incorporation of UAVs and social media in emergencies can revolutionize the whole process of emergency response. Nonetheless, their effectiveness can only be ensured by addressing the possible challenges and risks such as the risk to security and privacy and false information. To ensure the safe and responsible use of UAVs and social media in emergencies, standardized guidelines and protocols must be followed.
Assessing the efficacy of UAVs and social media during emergencies and recognizing opportunities for their improvement and advancement still requires additional research.
References
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Mohapatra, H. (2020). Offline drone instrumentalized ambulance for emergency situations. IAES International Journal of Robotics and Automation, 9(4), 251.
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Oubbati, O. S., Lakas, A., Lorenz, P., Atiquzzaman, M., & Jamalipour, A. (2019). Leveraging communicating UAVs for emergency vehicle guidance in urban areas. IEEE Transactions on Emerging Topics in Computing, 9(2), 1070-1082.
Palen, L., & Hughes, A. L. (2018). Social media in disaster communication. Handbook of disaster research, 497-518.
Ramakrishnan, T., Ngamassi, L., & Rahman, S. (2022). Examining the factors that influence the use of social media for disaster management by underserved communities. International Journal of Disaster Risk Science, 13(1), 52-65. https://doi.org/10.1007/s13753-022-00399-1
Rashid, M. T., Zhang, D. Y., & Wang, D. (2020). DASC: Towards a road Damage-Aware Social-media-driven Car sensing framework for disaster response applications. Pervasive and Mobile Computing, 67, 101207. https://doi.org/10.1016/j.pmcj.2020.101207
Rashid, M. T., Zhang, D. Y., & Wang, D. (2020). Socialdrone: An integrated social media and drone sensing system for reliable disaster response. In IEEE INFOCOM 2020-IEEE Conference on Computer Communications (pp. 218-227). IEEE. https://doi.org/10.1109/INFOCOM41043.2020.9155522
Rashid, M. T., Zhang, D. Y., Shang, L., & Wang, D. (2019, December). Sead: Towards a social-media-driven energy-aware drone sensing framework. In 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) (pp. 647-654). IEEE. https://doi.org/10.1109/ICPADS47876.2019.00097
Rashid, M. T., Zhang, Y., Zhang, D., & Wang, D. (2020, May). CompDrone: towards integrated computational model and social dronebased wildfire monitoring. In 2020 16th international conference on distributed computing in sensor systems (DCOSS) (pp. 43-50). IEEE. https://doi.org/10.1109/DCOSS49796.2020.00020
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Published
2023-11-24
How to Cite
Miltiadis, M. (2023). The Use of Social Media and UAVs in Emergency Situations: A Review. European Journal of Science, Innovation and Technology, 3(5), 269-284. Retrieved from https://ejsit-journal.com/index.php/ejsit/article/view/305
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Copyright (c) 2023 Meliadis Miltiadis
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