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Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data
Background With 500 million tweets posted daily, Twitter can provide valuable insights about public discourse surrounding niche topics, such as facial paralysis surgery. This study aims to describe public interest on Twitter relating to facial paralysis and facial reanimation surgery over the last...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015838/ https://www.ncbi.nlm.nih.gov/pubmed/35444760 http://dx.doi.org/10.1055/s-0041-1740080 |
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author | Rudy, Hayeem L. Ricci, Joseph A. |
author_facet | Rudy, Hayeem L. Ricci, Joseph A. |
author_sort | Rudy, Hayeem L. |
collection | PubMed |
description | Background With 500 million tweets posted daily, Twitter can provide valuable insights about public discourse surrounding niche topics, such as facial paralysis surgery. This study aims to describe public interest on Twitter relating to facial paralysis and facial reanimation surgery over the last decade. Methods Tweets containing the keywords “facial paralysis” and “Bell's palsy” posted between January 1, 2009, and January 1, 2019, were collected using Twitter Scraper. Tweets were screened by keywords relating to facial paralysis, and usage of these terms trended over time. Logistic regression was used to identify correlations between the quantity of publications per year and these terms posted on Twitter. Results 32,880 tweets were made during the study period, with no significant difference in the number of tweets per year. A very strong ( r = 0.8–1.0) positive correlation was found between time and frequency of the term “plastic surgery” and “transfer” ( p < 0.05). A strong ( r = 0.60–0.79) correlation was found between time and frequency for the following terms: “facial reanimation,” “gracilis,” “masseter,” “plastics,” “transplant” ( p < 0.05). A total of 619 studies with the keyword “facial reanimation” were published in PubMed within the study period. A very strong, positive correlation between publications per year and frequency was found for the terms “plastic surgery,” “function” and “esthetic,” and a strong, positive correlation was found for the “plastics,” “transplant,” “Botox,” “surgery,” “cosmetic,” “aesthetic” and “injection” ( p < 0.05). Conclusions An increasing number of discussion about facial paralysis on Twitter correlates with increased publications and likely surgeon discourse on facial reanimation surgery, driving public interest. |
format | Online Article Text |
id | pubmed-9015838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90158382022-04-19 Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data Rudy, Hayeem L. Ricci, Joseph A. Indian J Plast Surg Background With 500 million tweets posted daily, Twitter can provide valuable insights about public discourse surrounding niche topics, such as facial paralysis surgery. This study aims to describe public interest on Twitter relating to facial paralysis and facial reanimation surgery over the last decade. Methods Tweets containing the keywords “facial paralysis” and “Bell's palsy” posted between January 1, 2009, and January 1, 2019, were collected using Twitter Scraper. Tweets were screened by keywords relating to facial paralysis, and usage of these terms trended over time. Logistic regression was used to identify correlations between the quantity of publications per year and these terms posted on Twitter. Results 32,880 tweets were made during the study period, with no significant difference in the number of tweets per year. A very strong ( r = 0.8–1.0) positive correlation was found between time and frequency of the term “plastic surgery” and “transfer” ( p < 0.05). A strong ( r = 0.60–0.79) correlation was found between time and frequency for the following terms: “facial reanimation,” “gracilis,” “masseter,” “plastics,” “transplant” ( p < 0.05). A total of 619 studies with the keyword “facial reanimation” were published in PubMed within the study period. A very strong, positive correlation between publications per year and frequency was found for the terms “plastic surgery,” “function” and “esthetic,” and a strong, positive correlation was found for the “plastics,” “transplant,” “Botox,” “surgery,” “cosmetic,” “aesthetic” and “injection” ( p < 0.05). Conclusions An increasing number of discussion about facial paralysis on Twitter correlates with increased publications and likely surgeon discourse on facial reanimation surgery, driving public interest. Thieme Medical and Scientific Publishers Pvt. Ltd. 2021-12-13 /pmc/articles/PMC9015838/ /pubmed/35444760 http://dx.doi.org/10.1055/s-0041-1740080 Text en Association of Plastic Surgeons of India. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Rudy, Hayeem L. Ricci, Joseph A. Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title | Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title_full | Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title_fullStr | Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title_full_unstemmed | Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title_short | Mining the Twittersphere: Insights about Public Interest in Facial Reanimation Surgery from a Decade of Twitter Data |
title_sort | mining the twittersphere: insights about public interest in facial reanimation surgery from a decade of twitter data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015838/ https://www.ncbi.nlm.nih.gov/pubmed/35444760 http://dx.doi.org/10.1055/s-0041-1740080 |
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