A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic

The global COVID-19 pandemic has put everyone in an urgent need of accessing and comprehending health information online. Meanwhile, there has been vast amount of information/misinformation/disinformation generated over the Internet, particularly social media platforms, resulting in an infodemic. Th...

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Main Authors:	Tianming Liu, Xiang Xiao
Format:	article
Language:	EN
Published:	Frontiers Media S.A. 2021
Subjects:	AI eHealth literacy education infodemic public health Public aspects of medicine RA1-1270
Online Access:	https://doaj.org/article/14ff15a5c2164f79b3123430718bec03
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spelling	oai:doaj.org-article:14ff15a5c2164f79b3123430718bec032021-12-01T15:43:56ZA Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic2296-256510.3389/fpubh.2021.755808https://doaj.org/article/14ff15a5c2164f79b3123430718bec032021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.755808/fullhttps://doaj.org/toc/2296-2565The global COVID-19 pandemic has put everyone in an urgent need of accessing and comprehending health information online. Meanwhile, there has been vast amount of information/misinformation/disinformation generated over the Internet, particularly social media platforms, resulting in an infodemic. This public health crisis of COVID-19 pandemic has put each individual and the entire society in a test: what is the level of eHealth literacy is needed to seek accurate health information from online resources and to combat infodemic during a pandemic? This article aims to summarize the significances and challenges of improving eHealth literacy in both communicable (e.g., COVID-19) and non-communicable diseases [e.g., cancer, Alzheimer's disease, and cardiovascular diseases (CVDs)]. Also, this article will make our recommendations of a general framework of AI-based approaches to improving eHealth literacy and combating infodemic, including AI-augmented lifelong learning, AI-assisted translation, simplification, and summarization, and AI-based content filtering. This general framework of AI-based approaches to improving eHealth literacy and combating infodemic has the general advantage of matching the right online health information to the right people.Tianming LiuXiang XiaoFrontiers Media S.A.articleAIeHealth literacyeducationinfodemicpublic healthPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	AI eHealth literacy education infodemic public health Public aspects of medicine RA1-1270
spellingShingle	AI eHealth literacy education infodemic public health Public aspects of medicine RA1-1270 Tianming Liu Xiang Xiao A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
description	The global COVID-19 pandemic has put everyone in an urgent need of accessing and comprehending health information online. Meanwhile, there has been vast amount of information/misinformation/disinformation generated over the Internet, particularly social media platforms, resulting in an infodemic. This public health crisis of COVID-19 pandemic has put each individual and the entire society in a test: what is the level of eHealth literacy is needed to seek accurate health information from online resources and to combat infodemic during a pandemic? This article aims to summarize the significances and challenges of improving eHealth literacy in both communicable (e.g., COVID-19) and non-communicable diseases [e.g., cancer, Alzheimer's disease, and cardiovascular diseases (CVDs)]. Also, this article will make our recommendations of a general framework of AI-based approaches to improving eHealth literacy and combating infodemic, including AI-augmented lifelong learning, AI-assisted translation, simplification, and summarization, and AI-based content filtering. This general framework of AI-based approaches to improving eHealth literacy and combating infodemic has the general advantage of matching the right online health information to the right people.
format	article
author	Tianming Liu Xiang Xiao
author_facet	Tianming Liu Xiang Xiao
author_sort	Tianming Liu
title	A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
title_short	A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
title_full	A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
title_fullStr	A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
title_full_unstemmed	A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
title_sort	framework of ai-based approaches to improving ehealth literacy and combating infodemic
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/14ff15a5c2164f79b3123430718bec03
work_keys_str_mv	AT tianmingliu aframeworkofaibasedapproachestoimprovingehealthliteracyandcombatinginfodemic AT xiangxiao aframeworkofaibasedapproachestoimprovingehealthliteracyandcombatinginfodemic AT tianmingliu frameworkofaibasedapproachestoimprovingehealthliteracyandcombatinginfodemic AT xiangxiao frameworkofaibasedapproachestoimprovingehealthliteracyandcombatinginfodemic
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A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic

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