Faculty, Staff and Student Publications

Authors

    Language

    English

    Publication Date

    6-6-2022

    Journal

    Studies in Health Technology and Informatics

    DOI

    10.3233/SHTI220223

    PMID

    35673162

    PMCID

    PMC11423865

    PubMedCentral® Posted Date

    9-25-2024

    PubMedCentral® Full Text Version

    Author MSS

    Abstract

    The pervasiveness of health information in social media has led to a modern misinformation crisis, also known as a misinfodemic. Misinfodemics have upended public health activities as clearly evident during the COVID-19 pandemic. The objective of this study is to characterize social media content and information sources using theory-driven health behavior and psychology constructs to better understand the motifs of misinformation and their role in the dissemination of health (mis)information in Twitter posts. We analyzed 1,400 randomly selected tweets related to COVID-19 to ascertain four important variables, what is the tweet about (content), how is it structured (linguistic features), who is tweeting (source), and what is the reach of the tweet (dissemination). Results showed there was a significant difference between themes expressed, health beliefs manifested, and observed linguistic patterns in true and false information. Implications for informatics-driven digital health utilities, such as theory-informed knowledge models and context-aware risk communications, are discussed.

    Keywords

    COVID-19, Global Health, Humans, Pandemics, SARS-CoV-2, Social Media

    Published Open-Access

    yes

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