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Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention

Social media platforms have the potential to facilitate the dissemination of cancer prevention and control messages following celebrity cancer diagnoses. However, cancer communicators have yet to systematically leverage these naturally occurring interventions on social media as these events are diff...

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Autores principales: Vos, Sarah C., Sutton, Jeannette, Gibson, C. Ben, Butts, Carter T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396054/
https://www.ncbi.nlm.nih.gov/pubmed/30816059
http://dx.doi.org/10.1177/1073274819825826
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author Vos, Sarah C.
Sutton, Jeannette
Gibson, C. Ben
Butts, Carter T.
author_facet Vos, Sarah C.
Sutton, Jeannette
Gibson, C. Ben
Butts, Carter T.
author_sort Vos, Sarah C.
collection PubMed
description Social media platforms have the potential to facilitate the dissemination of cancer prevention and control messages following celebrity cancer diagnoses. However, cancer communicators have yet to systematically leverage these naturally occurring interventions on social media as these events are difficult to identify as they are unfolding and little research has analyzed their effect on social media conversations. In this study, we add to the research by analyzing how a celebrity cancer announcement influenced Twitter conversations in terms of the volume of social media messages and the type of content. Over a 9-day period, during which actor Ben Stiller announced that he had been treated for prostate cancer, we collected 1.2 million Twitter messages about cancer. We conducted automated content analyses to identify how often common cancer sites (prostate, breast, colon, or lung) were discussed. Then, we used manual content analysis on a sample of messages to identify cancer continuum content (awareness, prevention, early detection, diagnosis, treatment, survivorship, and end of life). Chi-square analyses were implemented to evaluate changes in cancer site and cancer continuum content before and after the announcement. We found that messages related to prostate cancer increased significantly more than expected for 2 days following Stiller’s announcement. However, the number of cancer messages that described other cancer locations either did not increase or did not increase by the same magnitude. In terms of message content, results showed larger than expected increases in diagnosis messages. These results suggest opportunities to shape social media conversations following celebrity cancer announcements and increase prevention and early detection messages.
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spelling pubmed-63960542019-03-04 Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention Vos, Sarah C. Sutton, Jeannette Gibson, C. Ben Butts, Carter T. Cancer Control Research Article Social media platforms have the potential to facilitate the dissemination of cancer prevention and control messages following celebrity cancer diagnoses. However, cancer communicators have yet to systematically leverage these naturally occurring interventions on social media as these events are difficult to identify as they are unfolding and little research has analyzed their effect on social media conversations. In this study, we add to the research by analyzing how a celebrity cancer announcement influenced Twitter conversations in terms of the volume of social media messages and the type of content. Over a 9-day period, during which actor Ben Stiller announced that he had been treated for prostate cancer, we collected 1.2 million Twitter messages about cancer. We conducted automated content analyses to identify how often common cancer sites (prostate, breast, colon, or lung) were discussed. Then, we used manual content analysis on a sample of messages to identify cancer continuum content (awareness, prevention, early detection, diagnosis, treatment, survivorship, and end of life). Chi-square analyses were implemented to evaluate changes in cancer site and cancer continuum content before and after the announcement. We found that messages related to prostate cancer increased significantly more than expected for 2 days following Stiller’s announcement. However, the number of cancer messages that described other cancer locations either did not increase or did not increase by the same magnitude. In terms of message content, results showed larger than expected increases in diagnosis messages. These results suggest opportunities to shape social media conversations following celebrity cancer announcements and increase prevention and early detection messages. SAGE Publications 2019-02-28 /pmc/articles/PMC6396054/ /pubmed/30816059 http://dx.doi.org/10.1177/1073274819825826 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research Article
Vos, Sarah C.
Sutton, Jeannette
Gibson, C. Ben
Butts, Carter T.
Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title_full Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title_fullStr Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title_full_unstemmed Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title_short Celebrity Cancer on Twitter: Mapping a Novel Opportunity for Cancer Prevention
title_sort celebrity cancer on twitter: mapping a novel opportunity for cancer prevention
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396054/
https://www.ncbi.nlm.nih.gov/pubmed/30816059
http://dx.doi.org/10.1177/1073274819825826
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