2019
DOI: 10.2196/13058
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Characterizing Media Content and Effects of Organ Donation on a Social Media Platform: Content Analysis

Abstract: BackgroundThe lack of organ donors has become a barrier for the development of organ transplantation programs, and many countries are currently facing a severe shortage of deceased organs. Media campaigns on social media have the potential to promote organ donation. However, little is known about what kind of media content is the most appropriate for this purpose.ObjectiveThis study aimed to analyze media posts regarding organ donation on Weibo, a social media platform, and to identify the media themes that ar… Show more

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Cited by 35 publications
(29 citation statements)
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“…We then focused on public interest in and attitudes toward medical AI through content analysis. Referring to the coding methods used in previous research [ 30 ], we used a direct content analysis approach to code these posts, including the following: (1) topics of public concern regarding AI in medical care, (2) public attitudes toward AI in medical care and the reasons for them, and (3) public opinion on whether AI can replace human doctors. For example, for the thematic content analysis, two researchers screened the posts while one of them proposed a codebook for topic categories.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We then focused on public interest in and attitudes toward medical AI through content analysis. Referring to the coding methods used in previous research [ 30 ], we used a direct content analysis approach to code these posts, including the following: (1) topics of public concern regarding AI in medical care, (2) public attitudes toward AI in medical care and the reasons for them, and (3) public opinion on whether AI can replace human doctors. For example, for the thematic content analysis, two researchers screened the posts while one of them proposed a codebook for topic categories.…”
Section: Methodsmentioning
confidence: 99%
“…Sina Weibo (Sina Corp), which is similar to Twitter, is one of the most popular social media platforms in China and boasts approximately 500 million daily active users from around China [ 26 , 27 ]. A growing body of literature has identified Sina Weibo as a useful platform for public health research, and its data have been used for studies on medical topics such as cancer misinformation [ 28 ], depression-related discourses [ 29 ], and organ donation awareness [ 30 ]. With the rapid development of medical AI, it has become an increasingly important topic of concern for the media and public.…”
Section: Introductionmentioning
confidence: 99%
“…Social media networks are an important factor driving changing views and attitudes toward organ transplantations. Social networks may positively affect public opinion through information campaigns about organ donation ( Cameron et al, 2013 ; Jiang et al, 2019 ). On the other hand, misinformation about transplants, which confuses public opinion and leads to distrust in the medical community, is considered an underlying cause of low organ donor registration rates ( Cameron et al, 2013 ).…”
Section: Introductionmentioning
confidence: 99%
“…Dentro desta ideia de termômetro ou o uso das mídias sociais para avaliar e encontrar pontos de contato com a sociedade, Jiang et al (2019) usaram conteúdo de mídia social para identificar os temas que podem representar vantagens para promover o conhecimento e atitudes da população em relação à doação de órgãos. A partir de uma base de 16 milhões de usuários, extraíram 1507 repostas dadas a 141 postagens, avaliadas em função das respostas e comentários recebidos.…”
Section: Métodos Aplicados Na Análise Dos Dados De Mídias Sociaisunclassified
“…API), precisão e alcance, sua distribuição geográfica e as especificidades do meio são importantes passos iniciais na preparação de um estudo de opinião pública pelas mídias sociais. Nota-se nestes estudos que não só palavraschave e as hashtags foram utilizados como buscadores para identificar e selecionar as postagens a serem analisadas, mas o número de respostas recebidas também foi o indicador, como em Jiang et al (2019).…”
Section: Métodos Aplicados Na Análise Dos Dados De Mídias Sociaisunclassified