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Healthcare
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Social Media and Health Communication
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Social Media and Health Communication

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Assessments".

Deadline for manuscript submissions: closed (17 January 2021) | Viewed by 14603

Special Issue Editors

Dr. Brendon Hyndman

E-Mail Website
Guest Editor
School of Education, Charles Sturt University, Thurgoona, NSW 2640, Australia
Interests: social media and educational technologies; physical education across sectors (primary, secondary & tertiary education); school environmental influences; school climate protection; social-ecological model; active play; physical activity; school playground strategies
Prof. Stephen Harvey

E-Mail Website
Guest Editor
The Gladys W. and David H. Patton College of Education, Ohio University, McCracken Hall, Athens, OH 45701-2979, USA
Interests: recreation and sports pedagogy

Special Issue Information

Dear Colleagues,

We would like to invite you to contribute a paper to this upcoming Special Issue in the international, peer-reviewed, open-access journal Healthcare, managed by MDPI. The Special Issue will be themed “Social Media for Health Communications” and will focus on how social media is used for communicative purposes across a diverse range of health-promoting fields. Social media sites (i.e., Facebook, Twitter, Pinterest, Instagram, etc.) have dramatically modified our ways of life, and these developments need to be captured and disseminated to inform insights for health-promoting professions.

Social media platforms provide an accessible method of open communication to allow for constant flows of public information and debate relating to health issues. Social media allows users to bypass typical constraints in relation to location, time, and affordability to collectively develop knowledge on key professional issues. Consequently, social media is an emergent area of research across all disciplines of health, and investigations are required to help develop pertinent practices to collectively promote health.

This Special Issue is designed for researchers to shed emerging insights through experimental and theoretical investigations into how social media platforms are and can be used for informative purposes to improve the practices of health promoters. You are welcome to forward this invitation to any colleagues working in health-promoting fields who are interested in utilizing and investigating social media communications. We look forward to your thoughtful contribution to this important Special Issue.

Dr. Brendon Hyndman
Prof. Stephen Harvey
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Social networks
  • Health promotion
  • Professional development
  • Technology
  • Online learning

Published Papers (4 papers)

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Research

8 pages, 2141 KiB  
Article
Ephemeral But Influential? The Correlation between Facebook Stories Usage, Addiction, Narcissism, and Positive Affect
by Sen-Chi Yu and Hong-Ren Chen
Healthcare 2020, 8(4), 435; https://doi.org/10.3390/healthcare8040435 - 26 Oct 2020
Cited by 4 | Viewed by 2098
Abstract
Despite the steep increase in Facebook Stories users, there is scant research on this topic. This study compared the associations of frequency of Stories update, frequency of news feed updates, time spent reading Stories, and time spent reading news feeds, with regard to [...] Read more.
Despite the steep increase in Facebook Stories users, there is scant research on this topic. This study compared the associations of frequency of Stories update, frequency of news feed updates, time spent reading Stories, and time spent reading news feeds, with regard to social media addiction, narcissism, and positive affect in college students. We recruited a sample of 316 college students from Taiwan. The analytical results show that Facebook Stories are more addictive and provoke more positive affect than conventional news feeds. Moreover, only usage behaviors associated with Stories predict narcissism. This study also found that the prediction of news feeds with regard to addiction, narcissism, and positive affect also seems to be diminishing and is being replaced by those of Stories. Future studies on the psychological consequences and predictors of social media usage should regard Stories as a crucial variable. Full article
(This article belongs to the Special Issue Social Media and Health Communication)
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20 pages, 2532 KiB  
Article
Structure Reversal of Online Public Opinion for the Heterogeneous Health Concerns under NIMBY Conflict Environmental Mass Events in China
by Jundong Hou, Tongyang Yu and Renbin Xiao
Healthcare 2020, 8(3), 324; https://doi.org/10.3390/healthcare8030324 - 06 Sep 2020
Cited by 10 | Viewed by 2749
Abstract
Public opinions play an important role in the formation of Not in My Back Yard (NIMBY) conflict environmental mass events. Due to the continual interactions between affected groups and the corresponding government responses surrounding the public interests related to health, online public opinion [...] Read more.
Public opinions play an important role in the formation of Not in My Back Yard (NIMBY) conflict environmental mass events. Due to the continual interactions between affected groups and the corresponding government responses surrounding the public interests related to health, online public opinion structure reversal arises frequently in NIMBY conflict events, which pose a serious threat to social public security. To explore the underlying mechanism, this paper introduces an improved dynamic model which considers multiple heterogeneities in health concerns and social power of individuals and in government’s ability. The experimental results indicate that the proposed model can provide an accurate description of the entire process of online public opinion structure reversal in NIMBY conflict environmental mass incidents on the Internet. In particular, the proportion of the individual agents without health interest appeals will delay the online public opinion structure reversal, and the upper threshold remains within regulatory limits from 0.4 to 0.5. Unlike some previous results that show that the guiding powers of the opinion leaders varied over its ratio in a fixed-sized group, our results suggest that the impact of opinion leaders is of no significant difference for the time of structure reversal after it increased to about 6%. Furthermore, a double threshold effect of online structure reversal during the government’s response process was observed. The findings are beneficial for understanding and explaining the process of online public opinion structure reversal in NIMBY conflict environmental mass incidents, and provides theoretical and practical implications for guiding public or personal health opinions on the Internet and for a governments’ effective response to them. Full article
(This article belongs to the Special Issue Social Media and Health Communication)
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18 pages, 1551 KiB  
Article
Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning
by Li Zhang, Haimeng Fan, Chengxia Peng, Guozheng Rao and Qing Cong
Healthcare 2020, 8(3), 307; https://doi.org/10.3390/healthcare8030307 - 28 Aug 2020
Cited by 23 | Viewed by 4333
Abstract
The widespread use of social media provides a large amount of data for public sentiment analysis. Based on social media data, researchers can study public opinions on human papillomavirus (HPV) vaccines on social media using machine learning-based approaches that will help us understand [...] Read more.
The widespread use of social media provides a large amount of data for public sentiment analysis. Based on social media data, researchers can study public opinions on human papillomavirus (HPV) vaccines on social media using machine learning-based approaches that will help us understand the reasons behind the low vaccine coverage. However, social media data is usually unannotated, and data annotation is costly. The lack of an abundant annotated dataset limits the application of deep learning methods in effectively training models. To tackle this problem, we propose three transfer learning approaches to analyze the public sentiment on HPV vaccines on Twitter. One was transferring static embeddings and embeddings from language models (ELMo) and then processing by bidirectional gated recurrent unit with attention (BiGRU-Att), called DWE-BiGRU-Att. The others were fine-tuning pre-trained models with limited annotated data, called fine-tuning generative pre-training (GPT) and fine-tuning bidirectional encoder representations from transformers (BERT). The fine-tuned GPT model was built on the pre-trained generative pre-training (GPT) model. The fine-tuned BERT model was constructed with BERT model. The experimental results on the HPV dataset demonstrated the efficacy of the three methods in the sentiment analysis of the HPV vaccination task. The experimental results on the HPV dataset demonstrated the efficacy of the methods in the sentiment analysis of the HPV vaccination task. The fine-tuned BERT model outperforms all other methods. It can help to find strategies to improve vaccine uptake. Full article
(This article belongs to the Special Issue Social Media and Health Communication)
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15 pages, 708 KiB  
Article
Exploring Health Information Sharing Behavior of Chinese Elderly Adults on WeChat
by Wei Wang, Xin Zhuang and Peng Shao
Healthcare 2020, 8(3), 207; https://doi.org/10.3390/healthcare8030207 - 10 Jul 2020
Cited by 25 | Viewed by 4577
Abstract
WeChat has increasingly become an important platform for users to acquire and share health information in China. However, little is known about elderly adults’ sharing behavior. This study aims to explore the characteristics and influencing factors of health information sharing behavior among Chinese [...] Read more.
WeChat has increasingly become an important platform for users to acquire and share health information in China. However, little is known about elderly adults’ sharing behavior. This study aims to explore the characteristics and influencing factors of health information sharing behavior among Chinese older adults on WeChat, with the method both of questionnaire survey (N = 336) and in-depth interviews (N = 40). The study finds that sharing health information, mainly represented by four specific methods of forwarding, consulting, replying, and posting, has become an important part of the daily life of elderly adults on WeChat. Social media provide a good opportunity for the flow of health information. However, the purpose to share health information of Chinese older adults is mainly based on relationship maintenance more than real information support; they share health information to friends and relatives first, then to spouses and children, which does not follow the trust model as usual. Experience in online health information, authority orientation, and relationship orientation is positively associated with health information sharing behavior, however, there is no significant correlation between perceived health information credibility and health information sharing behavior. Moreover, social and cultural factors are the important explanation mechanism. Full article
(This article belongs to the Special Issue Social Media and Health Communication)
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