مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

721
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Content Analysis of Social Networks in Health Organizations

Pages

  243-252

Abstract

 Introduction: The dramatic growth of Web 2 technologies and the emergence of social networks fosters great potential for the dissemination of health behavior change programs and healthcare. Organizations and providers of health services, as major contributors to these programs, have a large share of these tools. This study aimed to provide a classification for the content that health Organizations publish on social networks. Methods: This study was conducted through qualitative Content Analysis method. To this end, in the first step based on the literature, the study of the previous frameworks and the results of the researchers work in this field, initial coding was done; and in the next step, by analyzing a sample of 582 posts published on social networks by 11 leading health Organizations in the world, categorization and coding were completed. Results: Data analysis revealed in the extraction of 27 subcategories that consisted of 14 main categories including informational, educational, emotional, event, inviting, experiential, functional, alerting, employee, challenging, introductory, advertising, expressive, and celebrities for health organization content. Conclusion: The findings of the present study provide a comprehensive framework for the classification of health posts. This classification can be used by health policymakers to generate health-related content with new ideas as well as daily use to interact with Social Media audiences.

Cites

  • No record.
  • References

    Cite

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button