Twitter Engagement of U.S. Psychiatry Residency Programs with Black Lives Matter and Coronavirus Disease 2019 (COVID-19)
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Abstract
Social media have become popular platforms to disseminate information, especially related to politicized topics such as BLM and COVID-19. To better understand how medical institutions have engaged with the social media discourse on BLM and COVID-19, we examined psychiatry residency programs’ tweets in response to George Floyd’s murder and during the first 6 months of the COVID-19 pandemic in the U.S. Only 14% of the 249 evaluated psychiatry residency programs had Twitter accounts (we included programs with their own account or their affiliated psychiatry department account) indicating a substantial absence on social media. Of those programs, 78% tweeted at least once about COVID-19 (1,153 tweets) and 56% tweeted at least once about the BLM movement (117 tweets). The top three purposes of tweets were sharing media, posting about an event, and sharing a resource.
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SciScore for 10.1101/2020.10.20.20215723: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources We determined social media presence for each program by searching each program’s website and using a Google search to identify Twitter accounts of the residency program or its affiliated psychiatry department. Googlesuggested: (Google, RRID:SCR_017097)Word and Excel (Microsoft Corp) was used to manage the data. Excelsuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Na…
SciScore for 10.1101/2020.10.20.20215723: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources We determined social media presence for each program by searching each program’s website and using a Google search to identify Twitter accounts of the residency program or its affiliated psychiatry department. Googlesuggested: (Google, RRID:SCR_017097)Word and Excel (Microsoft Corp) was used to manage the data. Excelsuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Limitations include taking a 10% sample of COVID-19 tweets for qualitative analysis rather than a complete sample; and including BLM tweets for the month after George Floyd’s murder although the BLM movement has continued past the end of June. Nevertheless, this study provides insight on how medical institutions, specifically residency programs, engage with current political discourse through social media. Findings from our study highlight the need to share resources to support mental health of Black communities through accessible forms of communication like Twitter. Future research is needed to better understand long-term engagement on social media by medical institutions regarding public health crises like police brutality and the pandemic.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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