Runxi Zeng

Dr. Runxi Zeng

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 December 2019 in Journal of Medical Internet Research
Verified
Journal Article
Open access
CZChengyan Zhu
Chengyan Zhu
RZRunxi Zeng
Runxi Zeng
WZWei Zhang
Wei Zhang
RERichard Evans
Richard Evans
RHRongrong He
Rongrong He
Background: Social media has become the most popular communication tool used by Chinese citizens, including expectant mothers. An increasing number of women have adopted various forms of social media channels, such as interactive websites, instant messaging, and mobile apps, to solve problems and obtain answers to queries during pregnancy. Although the use of the internet by pregnant women has been studied extensively worldwide, limited research exists that explores the changing social media usage habits in China, where the 1 child policy ended in 2015.Objective: This study aimed to (1) present the status quo of pregnancy-related information seeking and sharing via social media among Chinese expectant mothers, (2) reveal the impact of social media usage, and (3) shed light on pregnancy-related health services delivered via social media channels.Methods: A qualitative approach was employed to examine social media usage and its consequences on pregnant women. A total of 20 women who had conceived and were at various stages of pregnancy were interviewed from July 20 to August 10, 2017. Thematic analysis was conducted on the collected data to identify patterns in usage.Results: Overall, 80% (16/20) of participants were aged in their 20s (mean 28.5 years [SD 4.3]). All had used social media for pregnancy-related purposes. For the seeking behavior, 18 codes were merged into 4 themes, namely, gravida, fetus, delivery, and the postpartum period; whereas for sharing behaviors, 10 codes were merged into 4 themes, namely, gravida, fetus, delivery, and caretaker. Lurking, small group sharing, bad news avoidance, and cross-checking were identified as the preferred patterns for using social media. Overall, 95% (19/20) of participants reported a positive mental impact from using social media during their pregnancy.Conclusions: It is indisputable that social media has played an increasingly important role in supporting expectant mothers in China. The specific seeking and sharing patterns identified in this study indicate that the general quality of pregnancy-related information on social media, as well as Chinese culture toward pregnancy, is improving. The new themes that merge in pregnancy-related social media use represent a shift toward safe pregnancy and the promotion of a more enjoyable pregnancy. Future prenatal care should provide further information on services related to being comfortable during pregnancy and reducing the inequality of social media–based services caused by the digital divide.

2 October 2019 in Scientific Reports
Verified
Journal Article
Open access
PDF file
RZRunxi Zeng
Runxi Zeng
DZDi Zhu
Di Zhu
The emotional contagion of netizens is an important factor that accelerates the spread of rumors, and it is also key to the effectiveness of rumor refutation. Based on the existing emotional model, we improved the method for calculating the emotional value and the transformation rules to simulate how the infection transforms individual emotion to group emotion during rumor refutation. The results show that the cycle and trend of netizen emotional change vary by period, but the final distribution structure presents a relatively stable state. The factors that affect the emotional changes of netizens are mainly objective and subjective aspects, both of which can promote the evolution of emotional contagion. The objective aspect depends on the speed and credibility of the rumor, and the subjective aspect depends on the degree of intimacy between netizens. After rumor refutation, emotions generally change from negative emotions to positive or immune emotions.

9 August 2018 in Journal of Medical Internet Research
Verified
Journal Article
Open access
WZWei Zhang
Wei Zhang
ZDZhaohua Deng
Zhaohua Deng
RERichard Evans
Richard Evans
FXFei Xiang
Fei Xiang
QYQing Ye
Qing Ye
RZRunxi Zeng
Runxi Zeng
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Social media has penetrated all walks of life. Chinese Healthcare Institutions are increasingly utilizing social media to connect with their patients for better health service delivery. Current research has focused heavily on the use of social media in developed countries, with few exploring its usage in the context of developing countries, such as China. This study examines China’s best hospitals, as recognized by The National Health and Family Planning Commission (NHFPC) of the People’s Republic of China, mapping out the landscape of current social media usage by hospitals when engaging with patients. Objective: This study aims to examine China’s best hospitals, as recognized by The National Health and Family Planning Commission (NHFPC) of the People’s Republic of China, and to map out the landscape of current social media usage by hospitals when engaging with patients. Methods: We examined the best 705 hospitals in China, collecting and analyzing their usage of popular Chinese social media applications, Sina Weibo and WeChat. Specific data included: (1) hospital characteristics (i.e. established time, number of beds, hospital type, regions/localities) and (2) status of social media usage on two of the most popular local social media platforms in China (i.e. initiated time, number of followers and number of tweets or posts). We further used a logistic regression model to test the association between hospital characteristics and social media adoption. Results: A total of 537 (76.17%) tertiary-referral hospitals have created official accounts on either Sina Weibo or WeChat. Of these, WeChat is more popular than Sina Weibo. In addition, our study suggests that larger and newer hospitals with greater resources are more likely to adopt social media, while hospital type and affiliation to universities are not significant predictors of social media adoption among hospitals. Conclusions: Our study demonstrated that hospitals are more inclined to use WeChat. The move by hospitals from Sina Weibo to WeChat means that patients are seen to be not satisfied by mere communication and now place more value on health services delivery. For the future, a long journey still lies ahead for hospitals in running their official social media accounts.

1 December 2018 in Personality and Individual Differences
Verified
Journal Article
Closed access
GWGe Wang
Ge Wang
WZWei Zhang
Wei Zhang
QCQiang Chen
Qiang Chen
RZRunxi Zeng
Runxi Zeng

22 December 2021 in China Information
Verified
Journal Article
Closed access
PDF file
XCXun Cao
Xun Cao
RZRunxi Zeng
Runxi Zeng
RERichard Evans
Richard Evans
This study examines the discursive practice of mourning and commenting by netizens on the final social media post made by Dr Li Wenliang, regarding it as a form of political participation and competitive discursive politics enacted in cyberspace. Discourse theory is applied to conduct discourse analysis on 4000 comments. We identified two strategies that netizens used to establish an alternative space for discourse. The first involved hidden protests expressed through multi-semantic mourning, avoiding suppression by indirectly challenging official authorities. Second, through engagement with microblogs, netizens applied personalized narratives to form a collective memory and a counter-memory space that departed from the official normative narrative. Discursive activities enacted by netizens stimulated the political agenda of resilient adjustment on the part of the authorities, leading the government to accept and incorporate public demands into policies through strategic rectification. These findings help to better understand the significant power of disorganized connective action that is reliant on affective citizens and the further development of regime resilience on the part of the Chinese political system in response to digital activities.

25 August 2021 in Frontiers in Psychology
Verified
Journal Article
Open access
RZRunxi Zeng
Runxi Zeng
DZDi Zhu
Di Zhu
Fear of evaluation is a key factor that affects how social media users present themselves to others, but little is known about the effects and mechanisms involved, especially on the relationship between fear of positive evaluation and online self-disclosure. This study explores how fear of evaluation affects online self-disclosure and examines how this relationship is moderated by protective face orientation in the Chinese context. A total of 750 Chinese WeChat users constituted the sample for a questionnaire-based analysis and regression analysis. The results showed that both fear of positive evaluation and fear of negative evaluation had a significant negative effect on the amount of online self-disclosure and a significant positive effect on the depth of online self-disclosure. Protective face orientation had a moderating effect on the relationship between fear of evaluation and online self-disclosure for both the amount and depth of online self-disclosure. Our findings suggest that social network site (SNS) users' fear of evaluation can be attributed to their cognitive attitude toward the external environment, and the loss of face in the Chinese context can be included in the social context.