Social media trends in obstetrics and gynecology residency programs on Instagram and X (Twitter).

BACKGROUND: During the COVID pandemic, residency program's social media presence increased to aid in residency recruitment by attempting to increase engagement and readily available information for applicants across specialties. However, little information exists on what characteristics and content on obstetrics and gynecology (OBGYN) residency program accounts attract more followers or engagement. OBJECTIVES: To identify social media trends in OBGYN residencies and determine which aspects of programs influence the number of followers and interaction with content posted. METHODS: We performed a retrospective review of ACGME accredited OBGYN programs and determined their presence on Instagram and X in the fall of 2021. Content from the thirty programs with the most followers was analyzed independently by two authors. Multivariate analysis and a linear mixed model were used to characterize and evaluate content on Instagram and X. RESULTS: Most programs utilized Instagram (88.5%, N = 262/296) and were managed solely by residents (84.4%, N = 108/128). Number of followers on Instagram positively correlated with features such as program size, Instagram profile duration, and Doximity rankings (p < 0.0x01). Programs on X had more followers if their profile had a longer duration, followed more individuals, or were ranked higher on Doximity. The most posted Instagram content was biographical and social in nature. Instagram posts with the highest engagement were awards and/or the Match. CONCLUSIONS: Understanding what social media content attracts more followers and increases engagement is crucial as it likely impacts OBGYN resident recruitment. Professional groups should establish guidelines for social media use in recruitment for the protection of both residents and applicants.

B.2.16 is a non-lethal modifier of the Dark82 mosaic eye phenotype in Drosophila melanogaster.

Genetic screens have been used to identify genes involved in the regulation of different biological processes. We identified growth mutants in a Flp/FRT screen using the Drosophila melanogaster eye to identify conditional regulators of cell growth and cell division. One mutant identified from this screen, B.2.16, was mapped and characterized by researchers in undergraduate genetics labs as part of the Fly-CURE. We find that B.2.16 is a non-lethal genetic modifier of the Dark82 mosaic eye phenotype.