Offspring Caregivers of Chinese Women with Breast Cancer: Their Social Support Requests and Provision on Social Media

Shi, Jingyuan; Chen, Liang; Su, Youzhen; Chen, Minyi

doi:10.1089/tmj.2018.0176

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…Notably, among the three themes, tweets about cancer with elements of social relationships had the strongest association with diffusion. This relationship is unsurprising, given that individuals are liable to turn to social media to share stories of family members or friends who are struggling with cancer so as to gain social support (Shi et al , 2019; Tsuya et al , 2014), which may also garner support from other Twitter users who retweet their stories. Even at the organizational level, researchers have found that apart from raising awareness and spreading knowledge about cancer, health organizations can increase their outreach on Twitter by actively engaging with online communities and by sharing the personal stories and experiences of cancer survivors, including about how they demonstrated resilience in their fight against cancer (Diddi and Lundy, 2017; Lee et al , 2020; Lovejoy and Saxton, 2012).…”

Section: Discussionmentioning

confidence: 99%

Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach

Wang

Lee

2020

INTR

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PurposeDrawing on the cognitive-functional model of emotions and emotional contagion, the authors aim to examine the role of negative emotions in the diffusion of cancer tweets.Design/methodology/approachUsing an integrated approach of social network and text analytics, the authors analyzed 142,883 cancer tweets from February to March 2018. The roles of negative emotions, emotional contagion, cancer themes and user influence on the diffusion of cancer tweets were examined.FindingsResults indicated that cancer tweets expressing negativity and anger diffused more widely, while those expressing sadness or fear were less likely to diffuse. However, contrary to the authors’ expectation, cancer tweets expressing negative emotions (i.e. negativity, anger and fear) were less likely to arouse similar emotions among retweets, thus suggesting that emotions in cancer tweets were not as contagious as they seemed. Finally, user influence was the most important factor explaining the diffusion of cancer tweets, although cancer-related themes (i.e. affective, informative and social) had marginal effects on likelihood of diffusion.Originality/valueUsing a novel integrated social network–text analytics approach, the authors found that to understand cancer tweets' diffusion, it is critical to go beyond examining the content of tweets about cancer and the influence of messengers – the virality of cancer tweets is inextricable from the negative emotions.

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Section: Discussionmentioning

confidence: 99%

Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach

Wang

Lee

2020

INTR

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“…10 12 14 In addition, they provide emotional and social support for patients with cancer and their healthcare providers. 15 A collaborative and interactive relationship between patients together and patients with healthcare professionals is considered an essential element for patient empowerment and illness management. 16 Due to the ability to share educational content, social media may improve knowledge or awareness of health topics or motivate cancer patients' behaviour change.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

“…They help patients communicate with each other and healthcare professionals and share health information and experiences about disease prevention, symptoms and treatment 10 12 14. In addition, they provide emotional and social support for patients with cancer and their healthcare providers 15. A collaborative and interactive relationship between patients together and patients with healthcare professionals is considered an essential element for patient empowerment and illness management 16.…”

Section: Introductionmentioning

confidence: 99%

Effect of social media interventions on the education and communication among patients with cancer: a systematic review protocol

et al. 2022

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IntroductionCancer is a leading cause of death worldwide. In addition, it accounted for approximately 10 million deaths in 2020 alone. Information and communication technologies have great potential for improving health education and communication. Social media is one of the technologies that can help patients with cancer and healthcare providers communicate and provide educational information. Social media are increasingly being used for health promotion and behaviour change. This is a protocol of systematic review to identify the effect of social media interventions on the education and communication among patients affected by cancer. This study aims to reveal the steps of conducting research that systematically reviews all studies for the specific objective. This study aims to examine the social media interventions to improve awareness and knowledge about the disease for patients with cancer and improve communication among them.Methods and analysisThis protocol is reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols checklist. We will include experimental design studies that report the effect of social media interventions on education and communication among patients with cancer or malignancy and any stage of the disease. Interventions will be inclusive, using all social network platforms for patients' communication and education. We will search PubMed, Web of Science, Scopus and the Cochrane Library from inception until 23 May 2022. Two independent reviewers will screen titles, abstracts and full-text articles with conflicts resolved through discussion or by a third reviewer, as needed. All titles, abstracts and full-text papers will be reviewed independently by two reviewers according to the inclusion and exclusion criteria. Discrepancies will resolve by discussion or SRNK if needed. The two reviewers will also independently complete risk of bias assessments for each included study. The descriptive analysis, including frequency and percentage parameters, will be calculated based on the study’s variables. Furthermore, we will report the results of the quality assessment of studies in table format. In the result section, a narrative synthesis will be applied to describe and compare the paper’s results.Ethics and disseminationEthics approval will not be needed because the data to be used in this systematic review and meta-analysis will be extracted from published studies. It will be disseminated by publication in a peer-reviewed journal.PROSPERO registration numberCRD42022334691.

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Improving cancer survivors’ e-health literacy via online health communities (OHCs): a social support perspective

Zhou

Wang

2019

J Cancer Surviv

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Offspring Caregivers of Chinese Women with Breast Cancer: Their Social Support Requests and Provision on Social Media

Cited by 9 publications

References 29 publications

Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach

Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach

Effect of social media interventions on the education and communication among patients with cancer: a systematic review protocol

Improving cancer survivors’ e-health literacy via online health communities (OHCs): a social support perspective

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