#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, Jahrgang 40, Nr. 12, 12.2020, S. 2031-2037.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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 -