An Adaptive Digital Intelligence System to Support Infodemic Management: The WHO EARS Platform

被引：0

作者：

White, Becky ^{[1
]}

Cabalero, Ivan ^{[2
]}

Nguyen, Tim ^{[1
]}

Briand, Sylvie ^{[1
]}

Pastorino, Agnese ^{[1
]}

Purnat, Tina D. ^{[1
]}

机构：

[1] World Hlth Org, WHO Hlth Emergencies Programme, Dept Epidem & Pandem Preparedness & Prevent, Geneva, Switzerland

[2] Citibeats, Barcelona, Spain

来源：

CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023 | 2023年 / 302卷

关键词：

Social listening; infodemic; AI; COVID-19; pandemic response; pandemic preparedness; social media monitoring;

D O I：

10.3233/SHTI230296

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was sought on a continual basis. Iterations were made to the platform in response to user needs, including the introduction of new languages and countries, and additional features to better enable more fine-grained and rapid analysis and reporting. The platform demonstrates how a scalable, adaptable system can be iterated upon to continue to support those working in emergency preparedness and response.

引用

页码：891 / 892

页数：2

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