Impact of Tweet Content on the Number of Retweets ― "Tweet the Meeting 2022" ―

被引:0
作者
Suzuki, Takahiro [1 ]
Mizuno, Atsushi [1 ,2 ,3 ]
Kishi, Takuya [3 ,4 ]
Rewley, Jeffrey [2 ]
Matsumoto, Chisa [3 ,5 ]
Sahashi, Yuki [3 ,6 ]
Ishida, Mari [3 ,7 ]
Sanada, Shoji [3 ,8 ]
Fukuda, Memori [3 ,9 ]
Sugimoto, Tadafumi [3 ,10 ]
Hirano, Miki [3 ,11 ]
Node, Koichi [3 ,12 ]
机构
[1] St Lukes Int Hosp, Dept Cardiovasc Med, 9-1 Akashi Cho,Chuo Ku, Tokyo 1048560, Japan
[2] Univ Penn, Leonard Davis Inst Hlth Econ, Philadelphia, PA USA
[3] Japanese Circulat Soc, Informat & Commun Comm, Tokyo, Japan
[4] Int Univ Hlth & Welf, Dept Grad Sch Med Cardiol, Okawa, Japan
[5] Tokyo Med Univ, Ctr Hlth Surveillance & Prevent Med, Dept Cardiol, Tokyo, Japan
[6] Gifu Univ Hosp, Dept Cardiol, Gifu, Japan
[7] Hiroshima Univ, Grad Sch Biomed & Hlth Sci, Dept Cardiovasc Physiol & Med, Hiroshima, Japan
[8] Kobe Univ Hosp, Clin & Translat Res Ctr, Kobe, Japan
[9] Keio Univ, Sch Med, Dept Cardiol, Tokyo, Japan
[10] Mie Univ, Grad Sch Med, Dept Cardiol & Nephrol, Tsu, Japan
[11] Kameda Med Ctr, Dept Nursing, Kamogawa, Japan
[12] Saga Univ, Dept Cardiovasc Med, Saga, Japan
关键词
Annual congress; Cardiology; Twitter; SOCIAL MEDIA; TWITTER; PLATFORM;
D O I
10.1253/circrep.CR-23-0043
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Previous research has investigated the effectiveness of the "Tweet the Meeting" campaign, but the relationship between tweet content and the number of retweets has not been fully evaluated. Methods and Results: We analyzed the number of tweets and retweets during the Japanese Circulation Society's 2022 annual meeting. The ambassador group had significantly more session- and symposium-related tweets than the non-ambassador group (P<0.001), associated with the nubmer of retweets. Symposium-related tweets with figures generated more retweets than those without figures (mean [+/- SD] +/- SD] 3.47 +/- 3.31 +/- 3.31 vs. 2.48 +/- 1.94 +/- 1.94 retweets per tweet, respectively; P=0.001). Conclusions: The study revealed that official meeting-designated Twitter ambassadors disseminate more educational content than non-ambassadors, and generated more retweets.
引用
收藏
页码:306 / 310
页数:5
相关论文
共 50 条
[21]   Utilizing Tweet Content for the Detection of Sentiment-based Interaction Communities on Twitter [J].
Jan Lam, Alron ;
Cheng, Charibeth .
2018 IEEE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2018, :682-691
[22]   The Role of News Source Certification in Shaping Tweet Content: Textual and Dissemination Patterns in Brazil's 2022 Elections [J].
da Fonseca, Luis Guilherme G. ;
Ferreira, Carlos H. G. ;
Reis, Julio C. S. .
PROCEEDINGS OF THE 20TH BRAZILIAN SYMPOSIUM ON INFORMATIONS SYSTEMS, SBSI 2024, 2024,
[23]   Tweet Content Related to Sexually Transmitted Diseases: No Joking Matter [J].
Gabarron, Elia ;
Serrano, J. Artur ;
Wynn, Rolf ;
Lau, Annie Y. S. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2014, 16 (10) :152-161
[24]   Journalists and Engagement on Twitter and Climate Change: Tweet Authors, Formats, and Content During COP25 [J].
Carrasco Polaino, Rafael ;
Mera Fernandez, Montse ;
Parratt Fernandez, Sonia .
JOURNALISM PRACTICE, 2022, 16 (2-3) :486-501
[25]   Corporate communication during the COVID-19 crisis in a multicultural environment: culture and tweet impact [J].
Faten F. Kharbat ;
Yezen Kannan ;
Kimberly Gleason ;
Amer Qasim .
Electronic Commerce Research, 2024, 24 :675-709
[26]   Tweet like Trump: Political branding and Twitter usage among congressional candidates in 2020 and 2022 [J].
Horan, Jennifer ;
Brubaker, Jennifer ;
King, Aaron ;
Meinhold, Stephen .
SOCIAL SCIENCE QUARTERLY, 2024, 105 (05) :1806-1820
[27]   Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter [J].
Himelboim, Itai ;
McCreery, Stephen ;
Smith, Marc .
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION, 2013, 18 (02) :40-60
[28]   Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions [J].
Chen, Liuliu ;
Jeong, Jiwon ;
Simpkins, Bridgette ;
Ferrara, Emilio .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
[29]   Using a Heuristic-Systematic Model to assess the Twitter user profile's impact on disaster tweet credibility [J].
Son, Jaebong ;
Lee, Jintae ;
Oh, Onook ;
Lee, Hyung Koo ;
Woo, Jiyoung .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2020, 54
[30]   An Unsupervised Approach to Identify Location Based on the Content of User's Tweet History [J].
Katragadda, Satya ;
Jin, Miao ;
Raghavan, Vijay .
ACTIVE MEDIA TECHNOLOGY, AMT 2014, 2014, 8610 :311-323