Universität zu Köln

Beste, Nedim Christoph, Davis, Xue, Kloeckner, Roman, Celik, Erkan ORCID: 0000-0001-5687-7707, Korenkov, Michael ORCID: 0000-0002-2988-8483, Maintz, David, Dratsch, Thomas and Pinto dos Santos, Daniel (2022). Comprehensive analysis of Twitter usage during a major medical conference held virtually versus in-person. Insights Imaging, 13 (1). NEW YORK: SPRINGER. ISSN 1869-4101

Full text not available from this repository.

Abstract

Background Twitter has become one of the most important social media platforms in science communication. During scientific conferences, Twitter can facilitate the communication between audience and speakers present at the venue and can extend the reach of a conference to participants following along from home. To examine whether Twitter activity can serve as a surrogate parameter for attendance at the RSNA conferences in 2019 and in 2020, and to characterize changes in topics discussed due to the virtual character of the 2020 RSNA conference. Methods The Twitter API and R Studio were used to analyze the absolute number and frequency of tweets, retweets, and conference-related hashtags during the 2019 and 2020 RSNA conference. Topics of discussion were compared across years by visualizing networks of co-occurring hashtags. Results There was a 46% decrease in total tweets and a 39% decrease in individual Twitter users in 2020, mirroring a 43% decrease in registered attendees during the virtual conference. Hashtags related to social initiatives in radiology (e.g., #radxx and #womeninradiology for promoting women's empowerment in radiology or #pinksocks, #weareradiology and #diversityisgenius for diversity in general) were less frequently used in 2020 than in 2019. Conclusion Twitter and congress attendance were highly related and interpersonal topics underwent less discussion during the virtual meeting. Overall engagement during the virtual conference in 2020 was lower compared to the in-person conference in 2019.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Beste, Nedim Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Davis, Xue UNSPECIFIED UNSPECIFIED UNSPECIFIED Kloeckner, Roman UNSPECIFIED UNSPECIFIED UNSPECIFIED Celik, Erkan UNSPECIFIED orcid.org/0000-0001-5687-7707 UNSPECIFIED Korenkov, Michael UNSPECIFIED orcid.org/0000-0002-2988-8483 UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Dratsch, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto dos Santos, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-676740
DOI:	10.1186/s13244-021-01140-0
Journal or Publication Title:	Insights Imaging
Volume:	13
Number:	1
Date:	2022
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1869-4101
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SOCIAL MEDIA; SOCIETY; IMPACT Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67674