Proceedings of the 2015 International Conference on Social Media &Amp; Society - SMSociety '15 2015
DOI: 10.1145/2789187.2789193
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A study of tweet chats for breast cancer patients

Abstract: One of the oldest patient communities on Twitter is characterized by the hashtag #bcsm, and it is a forum for breast cancer patients and survivors. This community has been hosting a weekly, moderated chat for the last three years. This paper describes work that analyzes the content of these chats and explores their effectiveness for the patients. The computational analysis compares the engagement, linguistic, and psychological facets of patients' tweets during the chats and out of the chats, and shows that the… Show more

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Cited by 8 publications
(6 citation statements)
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“…We created a Symplur Signals database (Symplur LLC, Upland, CA, USA) around the Twitter hashtag #FOAMed and interrogated it from March 1, 2013, through August 31, 2015; this dataset contained almost all data available for the hashtag because the accepted inception time for #FOAMed was March 2013 and the activity occurred explicitly around the hashtag [ 18 ]. The computational tools implemented by Symplur Signals have been validated previously for the analysis of Tweet chats [ 24 ]. There is a large amount of FOAM community activity, such as blogs, podcasts, and conference proceedings, that is not directly related to the #FOAMed hashtag or Twitter; however, these products are typically references in community activity and it is highly unlikely that such activity outside of Twitter would nullify the existence of the oCoP.…”
Section: Methodsmentioning
confidence: 99%
“…We created a Symplur Signals database (Symplur LLC, Upland, CA, USA) around the Twitter hashtag #FOAMed and interrogated it from March 1, 2013, through August 31, 2015; this dataset contained almost all data available for the hashtag because the accepted inception time for #FOAMed was March 2013 and the activity occurred explicitly around the hashtag [ 18 ]. The computational tools implemented by Symplur Signals have been validated previously for the analysis of Tweet chats [ 24 ]. There is a large amount of FOAM community activity, such as blogs, podcasts, and conference proceedings, that is not directly related to the #FOAMed hashtag or Twitter; however, these products are typically references in community activity and it is highly unlikely that such activity outside of Twitter would nullify the existence of the oCoP.…”
Section: Methodsmentioning
confidence: 99%
“…Symplur Analytics computational tools are frequently used to analyze Twitter hashtags throughout the health care field. 16,17 Tweet users were categorized into one or more of the following roles: patient, caregiver, health care provider, organization, advocate, moderator, or unknown, based on their introductory responses and Twitter profiles. Basic descriptive statistics were performed for frequencies of tweets by participant.…”
Section: Methodsmentioning
confidence: 99%
“…De hecho, los usuarios han empezado a utilizar estas plataformas para soporte e inquietudes sobre salud (Antheunis, Kiek y Nieboerb, 2013;Singh y Ajita, 2015). A través de las redes sociales, los pacientes están más dispuestos a hablar y a compartir emociones con otros.…”
Section: Palabras Clave: Redes Sociales / Twitter / Prevención En Salunclassified
“…A través de las redes sociales, los pacientes están más dispuestos a hablar y a compartir emociones con otros. Por ejemplo, Singh y Ajita (2015) analizaron los niveles de expresividad en chats de Twitter sobre cáncer de seno. Estos autores encontraron que los pacientes comparten más información sobre ellos en Twitter cuando hay un ambiente de soporte y estructura.…”
Section: Palabras Clave: Redes Sociales / Twitter / Prevención En Salunclassified