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Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study.

Lida SafarnejadQian XuYaorong GeArunkumar BagavathiSiddharth KrishnanShi Chen
Published in: JMIR public health and surveillance (2020)
Using our proposed analytical workflow, EventPeriscope, we identified that Zika discussion dynamics on Twitter were decoupled from the actual disease epidemic in the United States but were closely related to and highly influenced by certain sporadic real-world events as well as by a few influential users. This study provided a methodology framework and insights to better understand the driving forces of web-based public discourse during health emergencies. Therefore, health agencies could deliver more effective and efficient web-based communications in emerging crises.
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