#Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic

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#Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic. / Ruffer, Nikolas; Knitza, Johannes; Krusche, Martin.

In: RHEUMATOL INT, Vol. 40, No. 12, 12.2020, p. 2031-2037.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

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@article{9a8bba90502a46bb9d0fde941a600aa1,
title = "#Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic",
abstract = "Social media services, such as Twitter, offer great potential for a better understanding of rheumatic and musculoskeletal disorders (RMDs) and improved care in the field of rheumatology. This study examined the content and stakeholders associated with the Twitter hashtag #Covid4Rheum during the COVID-19 pandemic. The content analysis shows that Twitter connects stakeholders of the rheumatology community on a global level, reaching millions of users. Specifically, the use of hashtags on Twitter assists digital crowdsourcing projects and scientific collaboration, as exemplified by the COVID-19 Global Rheumatology Alliance registry. Moreover, Twitter facilitates the distribution of scientific content, such as guidelines or publications. Finally, digital data mining enables the identification of hot topics within the field of rheumatology.",
keywords = "Betacoronavirus, COVID-19, Cooperative Behavior, Coronavirus Infections/therapy, Global Health, Humans, Information Dissemination/methods, Pandemics, Pneumonia, Viral/therapy, Rheumatic Diseases/therapy, Rheumatology, SARS-CoV-2, Social Media/statistics & numerical data",
author = "Nikolas Ruffer and Johannes Knitza and Martin Krusche",
year = "2020",
month = dec,
doi = "10.1007/s00296-020-04710-5",
language = "English",
volume = "40",
pages = "2031--2037",
journal = "RHEUMATOL INT",
issn = "0172-8172",
publisher = "Springer",
number = "12",

}

RIS

TY - JOUR

T1 - #Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic

AU - Ruffer, Nikolas

AU - Knitza, Johannes

AU - Krusche, Martin

PY - 2020/12

Y1 - 2020/12

N2 - Social media services, such as Twitter, offer great potential for a better understanding of rheumatic and musculoskeletal disorders (RMDs) and improved care in the field of rheumatology. This study examined the content and stakeholders associated with the Twitter hashtag #Covid4Rheum during the COVID-19 pandemic. The content analysis shows that Twitter connects stakeholders of the rheumatology community on a global level, reaching millions of users. Specifically, the use of hashtags on Twitter assists digital crowdsourcing projects and scientific collaboration, as exemplified by the COVID-19 Global Rheumatology Alliance registry. Moreover, Twitter facilitates the distribution of scientific content, such as guidelines or publications. Finally, digital data mining enables the identification of hot topics within the field of rheumatology.

AB - Social media services, such as Twitter, offer great potential for a better understanding of rheumatic and musculoskeletal disorders (RMDs) and improved care in the field of rheumatology. This study examined the content and stakeholders associated with the Twitter hashtag #Covid4Rheum during the COVID-19 pandemic. The content analysis shows that Twitter connects stakeholders of the rheumatology community on a global level, reaching millions of users. Specifically, the use of hashtags on Twitter assists digital crowdsourcing projects and scientific collaboration, as exemplified by the COVID-19 Global Rheumatology Alliance registry. Moreover, Twitter facilitates the distribution of scientific content, such as guidelines or publications. Finally, digital data mining enables the identification of hot topics within the field of rheumatology.

KW - Betacoronavirus

KW - COVID-19

KW - Cooperative Behavior

KW - Coronavirus Infections/therapy

KW - Global Health

KW - Humans

KW - Information Dissemination/methods

KW - Pandemics

KW - Pneumonia, Viral/therapy

KW - Rheumatic Diseases/therapy

KW - Rheumatology

KW - SARS-CoV-2

KW - Social Media/statistics & numerical data

U2 - 10.1007/s00296-020-04710-5

DO - 10.1007/s00296-020-04710-5

M3 - SCORING: Journal article

C2 - 32995894

VL - 40

SP - 2031

EP - 2037

JO - RHEUMATOL INT

JF - RHEUMATOL INT

SN - 0172-8172

IS - 12

ER -