Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Jun 15, 2020)
Date Submitted: Jun 5, 2020
Open Peer Review Period: Jun 5, 2020 - Jun 13, 2020
(closed for review but you can still tweet)
NOTE: This is an unreviewed Preprint
Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).
Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.
Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).
Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.
Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.
Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Usage of Social media in Pandemic: Seeking support and awareness about COVID-19 through Social Media Platforms
ABSTRACT
Background:
The rise of social media in the global age has attracted the general public to learn medical information regarding the COVID-19 pandemic. During these days, people forced to stay at home and the social media connected and supported for awareness and pandemic updates
Objective:
The present study aimed to highlight the present situation of Indonesian society, where the outbreak position is quite high and the number of social media followers is increasing.
Methods:
The study designed a survey questionnaire to collect data from social media aspirants and data gathered and started from the month of March and April, 2020. The total number of 348 responses was collected through random sampling techniques and the majority shows a positive attitude toward using social media and medical information instruments. The data was further categories in Microsoft Excel, SPSS and Jamovi to do analysis and preparation of results
Results:
The results presented in a frequency distribution, Likert scale, reliability analysis and correlation regression. The majority of the respondents are using social media accounts are most particularly, they are sharing and learning through WhatsApp’s. Social media as social support indicates that greater frequency of respondents is seeking social support from their online and offline friends, relatives and colleagues. The findings show that the usage of social media was strongly correlated with social support (r=.450***, p<.01) capacity building are (r=.488***, p<.01) and learning & knowledge (r=.512***, p<.01).
Conclusions:
The study concluded the usage of social media platforms is easy and accessible to every individual for share, post and like the medical information regarding COVID-19. As people are working from home, and ensuring the social distance, thus the main majority of their regular time are spending on social media platforms for talking relatives, colleagues, and friends.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.