Computer Science

A comparative analysis for spatio-temporal spreading patterns of emergency news

M. Si, L. Cui, et al.

Discover how emergency news spreads differently on social media compared to other news types, based on an in-depth analysis of 81 million reposts. This research by Mingjiao Si, Lizhen Cui, Wei Guo, Qingzhong Li, Lei Liu, Xudong Lu, and Xin Lu provides insights crucial for disaster relief and effective communication strategies.

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Playback language: English

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Abstract

Understanding online emergency news propagation is crucial for emergency management and information dissemination. This study builds a comprehensive evaluation framework and analyzes 81 million reposts from Sina Weibo, comparing emergency news with political, social, tech, and entertainment news. Emergency news shows shorter lifecycles, active periods, and fewer post-peak fluctuations than other news types. Fewer users repost the same emergency news multiple times, and user influence has less impact on reposts. These findings offer valuable insights for disaster relief and communication path prediction.

Publisher

Scientific Reports

Published On

Nov 10, 2020

Authors

Mingjiao Si, Lizhen Cui, Wei Guo, Qingzhong Li, Lei Liu, Xudong Lu, Xin Lu

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