Development and dissemination of structured hashtags for radiation oncology: Two-Year trends
Purpose: For radiation oncology, social media is a favored communication platform, but it uses non-structured hashtags, which limits communication. In this work, we created a set of structured hashtags with key opinion leaders in radiation oncology, and we report on their use after two years post-de...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-03-01
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Series: | Clinical and Translational Radiation Oncology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405630822000829 |
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author | Atallah Baydoun Ian J. Pereira Sandra Turner Shankar Siva Ashley A. Albert D. Andrew Loblaw Richard A. Simcock Nicholas G. Zaorsky Matthew S. Katz |
author_facet | Atallah Baydoun Ian J. Pereira Sandra Turner Shankar Siva Ashley A. Albert D. Andrew Loblaw Richard A. Simcock Nicholas G. Zaorsky Matthew S. Katz |
author_sort | Atallah Baydoun |
collection | DOAJ |
description | Purpose: For radiation oncology, social media is a favored communication platform, but it uses non-structured hashtags, which limits communication. In this work, we created a set of structured hashtags with key opinion leaders in radiation oncology, and we report on their use after two years post-deployment. Materials/Methods: Hashtags were created, voted on, and refined by crowdsourcing 38 international experts, including physicians, physicists, patients, and organizations from North America, Europe, and Australia. The finalized hashtag set was shared with the radiation oncology community in September 2019. The number of tweets for each hashtag was quantified via Symplur through December 2021. For the top five tweeted hashtags, we captured the number of yearly tweets in the pre-deployment and post-deployment periods from 09/01/2019 to 08/31/2021. Results: The initial 2019 list contained 39 hashtags organized into nine categories. The top five hashtags by total number of tweets were: #Radonc, #PallOnc, #MedPhys, #SurvOnc, and #SuppOnc. Six hashtags had less than 10 total tweets and were eliminated. Post-deployment, there was an increase in the yearly tweets, with the following number of tweets by the second year post-deployment: #RadOnc (98,189 tweets), #MedPhys (15,858 tweets), and #SurvOnc (6,361 tweets). Two popular radiation oncology-related hashtags were added because of increased use: #DEIinRO (1,603 tweets by year 2) and #WomenWhoCurie (7,212 tweets by year 2). Over the two years, hashtags were used mostly by physicians (131,625 tweets, 34.8%). Conclusion: We created and tracked structured social media hashtags in radiation oncology. These hashtags disseminate information among a diverse oncologic community. To maintain relevance, regular updates are needed. |
first_indexed | 2024-04-10T06:34:31Z |
format | Article |
id | doaj.art-d8be52dc5250443bbd025db87e86bda1 |
institution | Directory Open Access Journal |
issn | 2405-6308 |
language | English |
last_indexed | 2024-04-10T06:34:31Z |
publishDate | 2023-03-01 |
publisher | Elsevier |
record_format | Article |
series | Clinical and Translational Radiation Oncology |
spelling | doaj.art-d8be52dc5250443bbd025db87e86bda12023-03-01T04:32:12ZengElsevierClinical and Translational Radiation Oncology2405-63082023-03-0139100524Development and dissemination of structured hashtags for radiation oncology: Two-Year trendsAtallah Baydoun0Ian J. Pereira1Sandra Turner2Shankar Siva3Ashley A. Albert4D. Andrew Loblaw5Richard A. Simcock6Nicholas G. Zaorsky7Matthew S. Katz8Department of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USAQueen’s University, Kingston, ON K7L 3N6, CanadaCrown Princess Mary Cancer Centre, Westmead 2145, AustraliaUniversity of Melbourne, Melbourne 3010, AustraliaArizona Center for Cancer Care, Scottsdale, AZ 85258, USADepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON M4N 3M5, CanadaBrighton and Sussex University Hospitals NHS Trust, Brighton BN2 1DH, UKDepartment of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USA; School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; Corresponding authors at: Department of Radiation Oncology, UH Cleveland Medical Center, Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH 44106, USA (N.G. Zaorsky). Department of Radiation Oncology, The Cancer Center at Lowell General Hospital, 295 Varnum Avenue, Lowell, MA 01854, USA (M. Katz).Radiation Oncology Associates, PA, Lowell, MA 01854, USA; Corresponding authors at: Department of Radiation Oncology, UH Cleveland Medical Center, Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH 44106, USA (N.G. Zaorsky). Department of Radiation Oncology, The Cancer Center at Lowell General Hospital, 295 Varnum Avenue, Lowell, MA 01854, USA (M. Katz).Purpose: For radiation oncology, social media is a favored communication platform, but it uses non-structured hashtags, which limits communication. In this work, we created a set of structured hashtags with key opinion leaders in radiation oncology, and we report on their use after two years post-deployment. Materials/Methods: Hashtags were created, voted on, and refined by crowdsourcing 38 international experts, including physicians, physicists, patients, and organizations from North America, Europe, and Australia. The finalized hashtag set was shared with the radiation oncology community in September 2019. The number of tweets for each hashtag was quantified via Symplur through December 2021. For the top five tweeted hashtags, we captured the number of yearly tweets in the pre-deployment and post-deployment periods from 09/01/2019 to 08/31/2021. Results: The initial 2019 list contained 39 hashtags organized into nine categories. The top five hashtags by total number of tweets were: #Radonc, #PallOnc, #MedPhys, #SurvOnc, and #SuppOnc. Six hashtags had less than 10 total tweets and were eliminated. Post-deployment, there was an increase in the yearly tweets, with the following number of tweets by the second year post-deployment: #RadOnc (98,189 tweets), #MedPhys (15,858 tweets), and #SurvOnc (6,361 tweets). Two popular radiation oncology-related hashtags were added because of increased use: #DEIinRO (1,603 tweets by year 2) and #WomenWhoCurie (7,212 tweets by year 2). Over the two years, hashtags were used mostly by physicians (131,625 tweets, 34.8%). Conclusion: We created and tracked structured social media hashtags in radiation oncology. These hashtags disseminate information among a diverse oncologic community. To maintain relevance, regular updates are needed.http://www.sciencedirect.com/science/article/pii/S2405630822000829Social MediaTwitterRadiation Oncology |
spellingShingle | Atallah Baydoun Ian J. Pereira Sandra Turner Shankar Siva Ashley A. Albert D. Andrew Loblaw Richard A. Simcock Nicholas G. Zaorsky Matthew S. Katz Development and dissemination of structured hashtags for radiation oncology: Two-Year trends Clinical and Translational Radiation Oncology Social Media Radiation Oncology |
title | Development and dissemination of structured hashtags for radiation oncology: Two-Year trends |
title_full | Development and dissemination of structured hashtags for radiation oncology: Two-Year trends |
title_fullStr | Development and dissemination of structured hashtags for radiation oncology: Two-Year trends |
title_full_unstemmed | Development and dissemination of structured hashtags for radiation oncology: Two-Year trends |
title_short | Development and dissemination of structured hashtags for radiation oncology: Two-Year trends |
title_sort | development and dissemination of structured hashtags for radiation oncology two year trends |
topic | Social Media Radiation Oncology |
url | http://www.sciencedirect.com/science/article/pii/S2405630822000829 |
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