A quantitative analysis of Twitter ('X') trends in the discussion of rhinoplasty

Autor: Shreya Mandava, Samuel L. Oyer, Stephen S. Park
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Laryngoscope Investigative Otolaryngology, Vol 9, Iss 1, Pp n/a-n/a (2024)
Druh dokumentu: article
ISSN: 2378-8038
DOI: 10.1002/lio2.1227
Popis: Abstract Introduction Rhinoplasty is one of the most common cosmetic surgical procedures performed globally. Twitter, also known as “X,” is used by both patients and physicians and has been studied as a useful tool for analyzing trends in healthcare. The public social media discourse of rhinoplasty has not been previously reported in the field of otolaryngology. The goal of this study was to characterize the most common user type, sentiment, and temporal trends in the discussion of rhinoplasty on Twitter to guide facial plastic surgeons in their clinical and social media practices. Methods A total of 1,427,015 tweets published from 2015 to 2020 containing the keywords “rhinoplasty” or “nose job” were extracted using Twitter Academic API. Tweets were standardized and filtered for spam and duplication. Natural language processing (NLP) algorithms and data visualization techniques were applied to characterize tweets. Results Significantly more “nose job” tweets (80.8%) were published compared with “rhinoplasty” (19.2%). Annual tweet frequency increased over the 5 years, with “rhinoplasty” tweets peaking in January and “nose job” tweets peaking in the summer and winter months. Most “rhinoplasty” tweets were linked to a surgeon or medical practice source, while most “nose job” tweets were from isolated laypersons. While discussion was positive in sentiment overall (M = +0.08), “nose job” tweets had lower average sentiment scores (P
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