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Social media: : A path to health literacy

Creative Director: Michelle Roberts Health Literacy Projects Manager: Lizz Callahan President: Catina O’LearyAuthors Info & Claims
Published: 01 January 2017 Publication History

Abstract

Social media – websites and other online tools called social networks – serve as a tool to connect people and organizations around topics of common interest. Social media platforms offer tremendous opportunity to engage quickly and sometimes in depth with many and diverse stakeholders as people have the ability to communicate back-and-forth from anywhere in the world. As increasing numbers of people receive their news and health information online, it is important to ensure content delivered through online resources is accessible to diverse target audiences. This article discusses a mid-sized health literacy nonprofit organizations’ social media philosophy and tactics during the past 10 years, as both social media and health literacy strategies evolved continuously. The integration of social media in health literacy program content depends on the use with best evidence health literacy strategies, such as the use of plain language techniques. Strategy and technical considerations for the implementation and integration of social media within a health literate health communications model are discussed.

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Cited By

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  • (2020)DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning TechniquesNeural Processing Letters10.1007/s11063-020-10279-855:4(3843-3861)Online publication date: 9-Jun-2020

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          Published In

          cover image Information Services and Use
          Information Services and Use  Volume 37, Issue 2
          Selected papers from the forthcoming book Health Literacy: New Directions in Research, Theory, and Practice
          2017
          148 pages
          This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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          IOS Press

          Netherlands

          Publication History

          Published: 01 January 2017

          Author Tags

          1. Health literacy
          2. social media
          3. communication

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          • (2020)DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning TechniquesNeural Processing Letters10.1007/s11063-020-10279-855:4(3843-3861)Online publication date: 9-Jun-2020

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