Study on Crisis Early-warning of Internet Rumors about Emergencies Based on BP Neural Network
Ying Zhou, Peng Zhang, Yuexin Lan, Haoqing Li
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.24How to use a DOI?
- Internet Rumors, BP Neural Network, Crisis Warning, early warning indicator
- With the emergencies raising a media storm on the internet, it always brings all kinds of internet rumors at the same time, which not only damages the government's image, but also creates great obstacles to dealing with emergencies. Therefore, conducting risk assessments about Internet Rumors in emergencies is an effective measure to prevent and control Internet Rumors in public administration. In this paper, the BP neural network model is used for crisis warning of establishing an Internet rumors early-warning index system, and then the quantitative evaluation of risk for the Internet rumors can be achieved. We analyzed and verified the model through computer simulation experiments combined with the explosion event in Tianjin on August 12th, 2015. The conclusion suggests that it is feasible to use BP neural network model in crisis warning of Internet rumors, and the warning's grading result helps the government in preventing and controlling Internet rumors.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ying Zhou AU - Peng Zhang AU - Yuexin Lan AU - Haoqing Li PY - 2016/11 DA - 2016/11 TI - Study on Crisis Early-warning of Internet Rumors about Emergencies Based on BP Neural Network BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press SP - 151 EP - 157 SN - 1951-6851 UR - https://doi.org/10.2991/rac-16.2016.24 DO - https://doi.org/10.2991/rac-16.2016.24 ID - Zhou2016/11 ER -