社交媒体上与健康有关的错误信息和技术解决方案。

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES
Flinta Rodrigues , Richard Newell , Giridhara Rathnaiah Babu , Tulika Chatterjee , Nimrat Kaur Sandhu , Latika Gupta
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引用次数: 0

摘要

本文讨论了 COVID-19 大流行期间社交媒体算法在错误信息传播中的作用。本文旨在提出应对错误信息的解决方案,并推广准确的、以证据为基础的公共卫生信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The social media Infodemic of health-related misinformation and technical solutions

This paper discusses the role of social media algorithms in the spread of misinformation during the COVID-19 pandemic. It aims to propose solutions to combat misinformation and promote accurate, evidence-based public health information.

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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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