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Journal of medical Internet research. 2022 Feb 15;24(2):e35707. doi: 10.2196/35707 Q16.02025

A Stanford Conference on Social Media, Ethics, and COVID-19 Misinformation (INFODEMIC): Qualitative Thematic Analysis

斯坦福大学关于社交媒体、伦理和新冠疫情虚假信息的会议(INFODEMIC)的质性主题分析 翻译改进

Michael A Gisondi  1, Daniel Chambers  2, Tatum Minh La  2, Alexa Ryan  2, Adyant Shankar  2, Athena Xue  2, Rachel Anne Barber  2

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  • 1 Department of Emergency Medicine, Stanford School of Medicine, Palo Alto, CA, United States.
  • 2 Stanford University, Palo Alto, CA, United States.
  • DOI: 10.2196/35707 PMID: 35030089

    摘要 Ai翻译

    Background: The COVID-19 pandemic continues to challenge the world's population, with approximately 266 million cases and 5 million deaths to date. COVID-19 misinformation and disinformation led to vaccine hesitancy among the public, particularly in vulnerable communities, which persists today. Social media companies are attempting to curb the ongoing spread of an overwhelming amount of COVID-19 misinformation on their platforms. In response to this problem, the authors hosted INFODEMIC: A Stanford Conference on Social Media and COVID-19 Misinformation (INFODEMIC) to develop best practices for social media companies to mitigate online misinformation and disinformation.

    Objective: The primary aim of this study was to develop recommendations for social media companies to address the COVID-19 infodemic. We report the methods used to execute the INFODEMIC conference, conference attendee engagement and analytics, and a qualitative thematic analysis of the conference presentations. The primary study outcomes were the identified themes and corresponding recommendations.

    Methods: Using a constructivist paradigm, we conducted a thematic analysis of the 6-hour conference transcript to develop best practice recommendations. The INFODEMIC conference was the study intervention, the conference speakers were the study participants, and transcripts of their presentations were the data for this study. We followed the 6-step framework for thematic analysis described by Braun and Clarke. We also used descriptive statistics to report measures of conference engagement including registrations, viewership, post-conference asynchronous participation, and conference evaluations.

    Results: A total of 26 participants spoke at the virtual conference and represented a wide array of occupations, expertise, and countries of origin. From their remarks, we identified 18 response categories and 4 themes: trust, equity, social media practices, and interorganizational partnerships. From these, a total of 16 best practice recommendations were formulated for social media companies, health care organizations, and the general public. These recommendations focused on rebuilding trust in science and medicine among certain communities, redesigning social media platforms and algorithms to reduce the spread of misinformation, improving partnerships between key stakeholders, and educating the public to critically analyze online information. Of the 1090 conference registrants, 587 (53.9%) attended the live conference, and another 9996 individuals viewed or listened to the conference recordings asynchronously. Conference evaluations averaged 8.9 (best=10).

    Conclusions: Social media companies play a significant role in the COVID-19 infodemic and should adopt evidence-based measures to mitigate misinformation on their platforms.

    Keywords: COVID-19; disinformation; infodemic; misinformation; qualitative; social media; thematic analysis; vaccine.

    Keywords:social media; ethics; covid-19; misinformation

    Copyright © Journal of medical Internet research. 中文内容为AI机器翻译,仅供参考!

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    期刊名:Journal of medical internet research

    缩写:J MED INTERNET RES

    ISSN:1438-8871

    e-ISSN:N/A

    IF/分区:6.0/Q1

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