How does WeChat’s active engagement with health information contribute to psychological well-being through social capital?

Zhang, Lianshan; Jung, Eun Hwa

doi:10.1007/s10209-021-00795-2

Cited by 23 publications

(28 citation statements)

References 79 publications

(128 reference statements)

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“…At present, the research on health information of WeChat official accounts platform mainly focuses on the influence of the WeChat platform on the rehabilitation of certain diseases [ 5 , 6 ], the sharing behavior of health information through WeChat [ 7 ], the promotion of WeChat platform on health information education [ 8 , 9 ], and knowledge service improvement method based on label aggregation [ 4 ]. Few studies on improving the information service of the WeChat platform by automatic text summarization.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Cheng

Shunli

2022

Journal of Environmental and Public Health

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With the rapid development of we-media information dissemination, WeChat official accounts platform has become an important way for people to obtain health related knowledge. However, the platform information is redundant, miscellaneous, and overloaded. In order to meet the increasingly accurate and efficient knowledge service needs of users, reorganizing and aggregating document knowledge resources is effective. If we use the way of artificial recognition to filter information, it will inevitably cause huge labor and time cost, and the effect is very little in front of massive articles. This paper proposes a text summarization method for the WeChat platform based on improved TextRank that takes into account both user demands and sentence features during the summarization process. The data source crawled from the Sogou WeChat platform. The results show that the TextRank algorithm has obvious hints on the accuracy of text summarization extraction after fusing the Word2vec model. The improved TextRank method, integrating user demands and sentence features into the model, makes the results of text summarization closer to the theme of the article and more able to meet the user demand. According to the complexity of the algorithm, this method is not suitable for the automatic summarization of long or multiple documents.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Cheng

Shunli

2022

Journal of Environmental and Public Health

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“…It has been installed on more than 90% of mobile phones and has become part of the daily lives of most people [ 24 ]. As of 2019, the number of monthly active accounts on WeChat reached 1.15 billion, and the number of daily active accounts of mini programs exceeded 300 million [ 25 ]. As the most commonly used social media tool in China, WeChat has an expansive network of contacts.…”

Section: Methodsmentioning

confidence: 99%

Nursing Interns’ Attitudes Toward, Preferences for, and Use of Diabetes Virtual Simulation Teaching Applications in China: National Web-Based Survey

Liu¹,

Weng²,

Xu³

et al. 2021

JMIR Mhealth Uhealth

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Background Diabetes has placed heavy social and economic burdens on society and families worldwide. Insufficient knowledge and training of frontline medical staff, such as nurses, interns, and residents, may lead to an increase in acute and chronic complications among patients with diabetes. However, interns have insufficient knowledge about diabetes management. The factors that affect interns’ current level of diabetes-related knowledge are still unclear. Therefore, understanding the behavioral intentions of interns is essential to supporting the development and promotion of the use of virtual simulation teaching applications. Objective This study aimed to identify the determinants of nursing interns’ intentions to use simulation-based education applications. Methods From December 1, 2020, to February 28, 2021, the web-based survey tool Sojump (Changsha Xingxin Information Technology Co) was used to survey nursing interns in hospitals across China. Two survey links were sent to 37 partner schools in 23 major cities in China, and they were disseminated through participants’ WeChat networks. Multiple regression analysis was used to determine the association between demographic information and basic disease information and the use of the application for treating adult patients. Results Overall, 883 nursing interns from 23 provinces in China responded to the survey. Among them, the virtual simulation utilization rate was 35.6% (314/883) and the awareness rate was 10.2% (90/883). In addition, among the interns, only 10.2% (90/883) correctly understood the concept of virtual simulation, and most of them (793/883, 89.8%) believed that scenario-simulation training or the use of models for teaching are all the same. Multiple regression analysis showed that the educational level, independent learning ability, and professional identity of the interns were related to use of the application (P<.05). Skills and knowledge that the interns most wanted to acquire included the treatment of hypoglycemia (626/883, 70.9%), functional test simulation (610/883, 69.1%), and blood glucose monitoring technology (485/883, 54.9%). A total of 60.5% (534/883) of the interns wanted to acquire clinical thinking skills, while 16.0% (141/883) wanted to acquire operational skills. Nursing trainees believed that the greatest obstacles to virtual simulation included limited time (280/883, 31.7%), the degree of simulation (129/883, 14.6%), the demand for satisfaction (108/883, 12.2%), and test scores (66/883, 7.5%). Conclusions The understanding and usage rate of diabetes virtual simulation teaching applications by Chinese nursing interns is very low. However, they have high requirements regarding this teaching method. Conducting high-quality randomized controlled trials and designing applications that are suitable for the needs of different nurse trainees will increase students’ interest in learning and help improve diabetes knowledge among nursing interns.

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“…Social media use not only provides numerous psychological benefits to users (Choi and Noh, 2020a;Pang, 2020;Zhang and Jung, 2022) but also causes adverse consequences on their psychological well-being (Fu et al, 2020b;Salo et al, 2019). Table I summarizes key empirical studies in past years regarding the positive and negative effects of social media use on psychological wellbeing.…”

Section: Duality In Psychological Outcomes Of Social Media Usementioning

confidence: 99%

“…Although the mainstream of past studies conveys that social media use can trigger psychological reactions from users (e.g., Boursier et al, 2020;Lin et al, 2021b;Selkie et al, 2020;Zhang and Jung, 2022), some researchers assert that unfavorable mental status contributes to increasing social media use (e.g., Cauberghe et al, 2021;Cha and Seo, 2018;Milošević-Đorđević and Žeželj, 2014). To exemplify this contention, previous studies show empirical evidence that loneliness is positively associated with the duration and frequency of social media use (Boursier et al, 2020;Geirdal et al, 2021;Guo, 2018); higher loneliness causes an increased likelihood of being mobile phone addiction (Bian and Leung, 2015).…”

Section: Bidirectional Relation Between Social Media Use and Psycholo...mentioning

confidence: 99%

Unmasking the bright–dark duality of social media use on psychological well-being: a large-scale longitudinal study

Lin

Zhou

2023

INTR

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PurposeAs the number of social media users continues to rise globally, a heated debate emerges on whether social media use improves or harms mental health, as well as the bidirectional relation between social media use and mental health. Motivated by this, the authors’ study adopts the stressor–strain–outcome model and social compensation hypothesis to disentangle the effect mechanism between social media use and psychological well-being. The purpose of this paper is to address this issue.Design/methodology/approachTo empirically validate the proposed research model, a large-scale two-year longitudinal questionnaire survey on social media use was administered to a valid sample of 6,093 respondents recruited from a university in China. Structural equation modeling was employed for data analysis.FindingsA longitudinal analysis reveals that social media use positively (negatively) impacts psychological well-being through the mediator of nomophobia (perceived social support) in a short period. However, social media use triggers more psychological unease, as well as more life satisfaction from a longitudinal perspective.Originality/valueThis study addresses the bidirectional relation between social media use and psychological unease. The current study also draws both theoretical and practical implications by unmasking the bright–dark duality of social media use on psychological well-being.

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How does WeChat’s active engagement with health information contribute to psychological well-being through social capital?

Cited by 23 publications

References 79 publications

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

[Retracted] Automatic Text Summarization for Public Health WeChat Official Accounts Platform Base on Improved TextRank

Nursing Interns’ Attitudes Toward, Preferences for, and Use of Diabetes Virtual Simulation Teaching Applications in China: National Web-Based Survey

Unmasking the bright–dark duality of social media use on psychological well-being: a large-scale longitudinal study

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