There is an unprecedented demand for infodemic management due to rapidly evolving information about the novel COVID-19 pandemic. This viewpoint paper details the evolution of a Canadian digital information tool, Chloe for COVID-19, based on incremental leveraging of artificial intelligence techniques. By providing an accessible summary of Chloe's development, we show how proactive cooperation between health, technology, and corporate sectors can lead to a rapidly scalable, safe, and secure virtual chatbot to assist public health efforts in keeping Canadians informed. We then highlight Chloe's strengths, the challenges we faced during the development process, and future directions for the role of chatbots in infodemic management. The information presented here may guide future collaborative efforts in health technology in order to enhance access to accurate and timely health information to the public.
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http://dx.doi.org/10.2196/27283 | DOI Listing |
Front Public Health
December 2024
Department of Pharmacy Management, Faculty of Pharmacy, Hacettepe University, Ankara, Türkiye.
Zhonghua Liu Xing Bing Xue Za Zhi
December 2024
Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China The D.H. Chen School of Universal Health, Zhejiang University, Hangzhou310058, China.
The internet era has brought a dual impact on epidemiological research: on one hand, it has expanded the breadth and depth of public health surveillance, enriching the formulation of strategies for early warning for public health emergencies and infectious disease outbreaks, disease prevention, and health promotion through vast medical information resources. On the other hand, it has triggered the issue of "infodemic", wherein the rapid spread of misinformation disrupts public perception, weakens the effectiveness of public health responses, and adds complexity to the management of public health emergencies. This paper focuses on representative research areas of infodemiology, for example, infodemic caused by inforus, and explores its future development trends and potential challenges with the aim to deepen infodemiology research and optimize public health practice.
View Article and Find Full Text PDFFront Psychol
November 2024
School of Foreign Languages, Central South University, Changsha, Hunan, China.
Background: In the face of the proliferation of misinformation during the COVID-19 pandemic, crowdsourced debunking has surfaced as a counter-infodemic measure to complement efforts from professionals and regular individuals. In 2021, X (formerly Twitter) initiated its community-driven fact-checking program, named Community Notes (formerly Birdwatch). This program allows users to create contextual and corrective notes for misleading posts and rate the helpfulness of others' contributions.
View Article and Find Full Text PDFRisk Anal
November 2024
School of Management, University of Science and Technology of China, Hefei, Anhui Province, P.R. China.
The proliferation of inaccurate and misleading information about COVID-19 on social media poses a significant public health concern. This study examines the impact of the infodemic and beneficial information on COVID-19 protective behaviors in an armed-conflict country. Using the protective action decision model (PADM), data were collected from 1439 participants through a questionnaire in Yemen between August 2020 and April 2021.
View Article and Find Full Text PDFAnn Glob Health
October 2024
Department of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, South Africa.
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