Document Type : Research Paper

Author

Professor, Library and Information Science Dept, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Abstract

The space in which a large amount of invalid information is produced and disseminated is called the information swamp. This is a special term for information flow in crises with a wide range, including the coronavirus crisis. In the information swamp, the amount of false information produced is enormous and the adverse effects are usually long-term and relatively deep. For example, the lack of certain foods can sometimes disrupt the normal course of society and provide a space for the production and dissemination of incorrect information. But because they are temporary, the effects on society are not multifaceted or profound. After a while, this pollution disappears with transparency and also trying to solve the problem. But in the coronavirus crisis, almost all over the world was justified by the information swamp. In fact, the volume of unauthentic information produced and shared was large and it became almost impossible to distinguish authentic from unauthentic information. In this case, the people and the governments were confused and it was very difficult and time-consuming for society to get out of this situation. Therefore, we must know the effects of creating an information swamp on the individual and society and propose scientific and logical solutions to solve it. This article explains this issue.

Highlights

Chernov, D., & Sornette, D. (2016). Dynamics of information flow before major crises: lessons from the collapse of Enron, the subprime mortgage crisis and other high impact disasters in the industrial sector Disaster Forensics. 175-221.

Dong, R., Li, L., Zhang, Q., & Cai, G. (2018). Information diffusion on social media during natural disasters. IEEE Transactions on Computational Social Systems, 5(1), 265-276.

Farnoosh, G., Alishiri, G., Zijoud, S. R. H., Dorostkar, R., & Farahani, A. J.  (2020). Understanding the 2019-novel Coronavirus (2019-nCoV) and Coronavirus Disease (COVID-19) Based on Available Evidence-A Narrative Review. Journal of Military Medicine, 22(1), 1-11.

Omekwu, C. O. (2006). Managing information and technology: critical roles for librarians in developing countries. The electronic library.

Sagun, A., Bouchlaghem, D., & Anumba, C. J. (2009). A scenario‐based study on information flow and collaboration patterns in disaster management. Disasters, 33(2), 214-238.

Keywords

Chernov, D., & Sornette, D. (2016). Dynamics of information flow before major crises: lessons from the collapse of Enron, the subprime mortgage crisis and other high impact disasters in the industrial sector Disaster Forensics. 175-221.
Dong, R., Li, L., Zhang, Q., & Cai, G. (2018). Information diffusion on social media during natural disasters. IEEE Transactions on Computational Social Systems, 5(1), 265-276.
Farnoosh, G., Alishiri, G., Zijoud, S. R. H., Dorostkar, R., & Farahani, A. J.  (2020). Understanding the 2019-novel Coronavirus (2019-nCoV) and Coronavirus Disease (COVID-19) Based on Available Evidence-A Narrative Review. Journal of Military Medicine, 22(1), 1-11.
Omekwu, C. O. (2006). Managing information and technology: critical roles for librarians in developing countries. The electronic library.
Sagun, A., Bouchlaghem, D., & Anumba, C. J. (2009). A scenario‐based study on information flow and collaboration patterns in disaster management. Disasters, 33(2), 214-238.