Cargando…
Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019
BACKGROUND: Twitter engagement between surgeons provides opportunities for international discussion of research and clinical practice. Understanding how surgical tweet chats work is important at a time when increasing reliance is being placed on virtual engagement because of the COVID-19 pandemic. M...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799300/ https://www.ncbi.nlm.nih.gov/pubmed/33688941 http://dx.doi.org/10.1093/bjsopen/zraa019 |
_version_ | 1783635113935896576 |
---|---|
author | Mackenzie, G Grossman, R Mayol, J |
author_facet | Mackenzie, G Grossman, R Mayol, J |
author_sort | Mackenzie, G |
collection | PubMed |
description | BACKGROUND: Twitter engagement between surgeons provides opportunities for international discussion of research and clinical practice. Understanding how surgical tweet chats work is important at a time when increasing reliance is being placed on virtual engagement because of the COVID-19 pandemic. METHODS: Individual tweets from the May 2019 #BJSConnect tweet chat were extracted using NodeXL, complemented by Twitter searches in an internet browser to identify responses that had not used the hashtag. Aggregate estimates of tweet views were obtained from a third-party social media tool (Twitonomy) and compared with official Twitter Analytics measurements. RESULTS: In total 37 Twitter accounts posted 248 tweets or replies relating to the tweet chat. A further 110 accounts disseminated the tweets via retweeting. Only 58.5 per cent of these tweets and 35 per cent of the tweeters were identified through a search for the #BJSConnect hashtag. The rest were identified by searching for replies (61), quoting tweets (20), and posts by @BJSurgery that used the hashtag but did not appear in the Twitter search (22). Studying all tweets revealed complex branching discussions that went beyond the discussed paper’s findings. Third-party estimates of potential reach of the tweet chat were greatly exaggerated. CONCLUSION: Understanding the extent of the discussion generated by the #BJSConnect tweet chat required looking beyond the hashtag to identify replies and other responses, which was time-consuming. Estimates of reach using a third-party tool were unreliable. |
format | Online Article Text |
id | pubmed-7799300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77993002021-01-25 Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 Mackenzie, G Grossman, R Mayol, J BJS Open Original Article BACKGROUND: Twitter engagement between surgeons provides opportunities for international discussion of research and clinical practice. Understanding how surgical tweet chats work is important at a time when increasing reliance is being placed on virtual engagement because of the COVID-19 pandemic. METHODS: Individual tweets from the May 2019 #BJSConnect tweet chat were extracted using NodeXL, complemented by Twitter searches in an internet browser to identify responses that had not used the hashtag. Aggregate estimates of tweet views were obtained from a third-party social media tool (Twitonomy) and compared with official Twitter Analytics measurements. RESULTS: In total 37 Twitter accounts posted 248 tweets or replies relating to the tweet chat. A further 110 accounts disseminated the tweets via retweeting. Only 58.5 per cent of these tweets and 35 per cent of the tweeters were identified through a search for the #BJSConnect hashtag. The rest were identified by searching for replies (61), quoting tweets (20), and posts by @BJSurgery that used the hashtag but did not appear in the Twitter search (22). Studying all tweets revealed complex branching discussions that went beyond the discussed paper’s findings. Third-party estimates of potential reach of the tweet chat were greatly exaggerated. CONCLUSION: Understanding the extent of the discussion generated by the #BJSConnect tweet chat required looking beyond the hashtag to identify replies and other responses, which was time-consuming. Estimates of reach using a third-party tool were unreliable. Oxford University Press 2020-12-13 /pmc/articles/PMC7799300/ /pubmed/33688941 http://dx.doi.org/10.1093/bjsopen/zraa019 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of BJS Society Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Mackenzie, G Grossman, R Mayol, J Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title | Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title_full | Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title_fullStr | Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title_full_unstemmed | Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title_short | Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019 |
title_sort | beyond the hashtag: describing and understanding the full impact of the #bjsconnect tweet chat may 2019 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799300/ https://www.ncbi.nlm.nih.gov/pubmed/33688941 http://dx.doi.org/10.1093/bjsopen/zraa019 |
work_keys_str_mv | AT mackenzieg beyondthehashtagdescribingandunderstandingthefullimpactofthebjsconnecttweetchatmay2019 AT grossmanr beyondthehashtagdescribingandunderstandingthefullimpactofthebjsconnecttweetchatmay2019 AT mayolj beyondthehashtagdescribingandunderstandingthefullimpactofthebjsconnecttweetchatmay2019 |