Promoting users' intention to share online health articles on social media: The role of confirmation bias

Predicting Health Misperceptions: The Role of eHealth Literacy and Situational Perceptions

This study sought to understand how health misperceptions develop among individuals after exposure to misinformation messages, and how eHealth literacy and situational motivation in problem solving are associated with the negative effects of misinformation exposure. We also sought to understand the differentiated effects of misinformation exposure on the four misinformation-susceptible publics. Results from two studies revealed that situational motivation was positively associated with the formation of misperceptions after misinformation exposure as well as individuals' likelihood of amplifying the misinformation message. However, eHealth literacy does not reduce misperceptions, as had been hypothesized. In fact, eHealth literacy was not significantly associated with misperceptions or with misinformation amplification likelihood. Results also provide support for the typology of misinformation-susceptible publics as misinformation-amplifying publics were the most susceptible to misinformation messages.

Self-Correction or Other-Correction: The Effects of Source Consistency and Ways of Correction on Sharing Intention of Health Misinformation Correction

The spread of misinformation, especially health-related misinformation has raised concerns globally. As an immediate remedy, fact-checking has been identified as an important solution. Adopting a 2 (source credibility: high vs. low) × 2 (source consistency: consistent vs. inconsistent) × 3 (ways of correction: human fact-checking vs. AI fact-checking vs. simple rebuttal) factorial design experiment (N = 754), this study examined how ways of correction and source consistency may affect individuals' intentions to share health misinformation correction on social media on two health topics: sunscreen safety and vaccine safety. Results showed that human and AI fact-checking correction elicited higher sharing intention compared to simple rebuttal. Correction coming from a different source than the original misinformation source elicited higher sharing intention, compared to correction from the same source. Perceived correction source credibility mediated the effects of ways of correction and source consistency on correction sharing intention. Theoretical and practical implications were discussed.

Understanding Social Media Information Sharing in Individuals with Depression: Insights from the Elaboration Likelihood Model and Schema Activation Theory

Purpose

How individuals engage with social media can significantly impact their psychological well-being. This study examines the impact of social media interactions on mental health, grounded in the frameworks of the Elaboration Likelihood Model and Schema Activation Theory. It aims to uncover behavioral differences in information sharing between the general population and individuals with depression, while also elucidating the psychological mechanisms underlying these disparities.

Methods

A pre-experiment (N=30) and three experiments (Experiment 1a N=200, Experiment 1b N=180, Experiment 2 N=128) were executed online. These experiments investigated the joint effects of information quality, content valence, self-referential processing, and depression level on the intention to share information. The research design incorporated within-subject and between-subject methods, utilizing SPSS and SPSS Process to conduct independent sample t-tests, two-factor ANOVA analyses, mediation analyses, and moderated mediation analyses to test our hypotheses.

Results

Information quality and content valence significantly influence sharing intention. In scenarios involving low-quality information, individuals with depression are more inclined to share negative emotional content compared to the general population, and this tendency intensifies with the severity of depression. Moreover, self-referential processing acts as a mediator between emotional content and intention to share, yet this mediation effect weakens as the severity of depression rises.

Conclusion

Our study highlights the importance of promoting viewpoint diversity and breaking the echo chamber effect in social media to improve the mental health of individuals with depression. To achieve this goal, tailoring emotional content on social media could be a practical starting point for practice.

Sharing health information across online platforms: A systematic review

Advanced Web 2.0 communication technologies have facilitated health-related information (HRI) sharing on the Internet. Especially, the COVID-19 pandemic and lockdowns around the world have forced more people to turn to the Internet for HRI. A better understanding of users' sharing content and sharing behavior can help communicators improve health literacy, raise community awareness, and facilitate social support exchanges. This paper reports the results of a systematic review of online HRI sharing literature, including key research topics, theories and methods used in past studies, and key factors of sharing behavior across online platforms. Following the PRISMA procedure for a systematic review, 58 articles were identified and analyzed using keyword matching, thematic analysis, and expert review. Guided by the platform theory, our findings differentiated five types of online platforms that differently influenced online users' sharing content and sharing purposes, including micro-blogs, social network sites, online health communities, social question and answer sites, and Wikis. The findings also clarify five main research topics and applicable theories used in each topic, including personal health sharing, health-related knowledge sharing, general health message diffusion, outcomes of HRI sharing, and exploratory research. Key factors of sharing behavior and potential sharing outcomes are also reviewed and summarized in the research framework developed from the motivation theory. Our study contributes to the understanding of online sharing behavior and provides implications for health communicators to develop effective health campaigns. Potential research directions are also identified and discussed.

What are the ways in which social media is used in the context of complementary and alternative medicine in the health and medical scholarly literature? a scoping review

BACKGROUND

Despite the increased use of social media to share health-related information and the substantial impact that complementary and alternative medicine (CAM) can have on individuals' health and wellbeing, currently, to our knowledge, there is no review that compiles research on how social media is used in the context of CAM. The objective of this study was to summarize what are the ways in which social media is used in the context of CAM.

METHODS

A scoping review was conducted, following Arksey and O'Malley's five-stage methodological framework. MEDLINE, EMBASE, PsycINFO, AMED, and CINAHL databases were systematically searched from inception until October 3, 2020, in addition to the Canadian Agency for Drugs and Technology in Health (CADTH) website. Eligible studies had to have investigated how at least one social media platform is used in the context of a single or multiple types of CAM treatments.

RESULTS

Searches retrieved 1714 items following deduplication, of which 1687 titles and abstracts were eliminated, leaving 94 full-text articles to be considered. Of those, 65 were not eligible, leaving a total of 29 articles eligible for review. Three themes emerged from our analysis: 1) social media is used to share user/practitioner beliefs, attitudes, and experiences about CAM, 2) social media acts as a vehicle for the spread of misinformation about CAM, and 3) there are unique challenges with social media research in the context of CAM.

CONCLUSIONS

In addition to social media being a useful tool to share user/practitioner beliefs, attitudes, and experiences about CAM, it has shown to be accessible, effective, and a viable option in delivering CAM therapies and information. Social media has also been shown to spread a large amount of misleading and false information in the context of CAM. Additionally, this review highlights the challenges with conducting social media research in the context of CAM, particularly in collecting a representative sample.

How Does Social Media Exposure and Engagement Influence College Students' Use of ENDS Products? A Cross-lagged Longitudinal Study

Electronic nicotine delivery systems (ENDS) products have been marketed heavily on social media throughout the past years, which exerts great influence on young adults' ENDS use. Despite scholars' pioneering efforts in investigating the influence of tobacco and nicotine products marketing on young adults' vaping behavior, scholarly attention has been paid primarily to passive exposure to rather than active engagement with the information on social media. In addition, the majority of existing research has been cross-sectional or focused on the unidirectional path from marketing information to behavior. To extend previous research in tobacco regulatory science on new media, we examined the bidirectional associations between self-reported exposure to and engagement with tobacco and nicotine products messaging on social media, and subsequent use of ENDS products one year later among a large, diverse sample of young adults. Results from cross-lagged panel analyses indicated that pro-tobacco/ENDS engagement and advertising exposure elevated risk whereas anti-tobacco/ENDS engagement decreased risk for the subsequent use of ENDS products one year later. On the other hand, the use of ENDS products positively predicted both pro- and anti-tobacco/ENDS engagement one year later. Findings provide empirical support for the reasoned action approach and the confirmation bias rooted in cognitive dissonance theory through rigorous longitudinal examination. Our findings not only point to the imperativeness of and offer guidance for regulating marketing information on social media, but also suggest social media as a promising platform to prevent young adults from initiating ENDS product use.

The relationship between eHealth literacy, social media self-efficacy and health communication intention among Chinese nursing undergraduates: A cross-sectional study

Background

With the popularization of the Internet, it has become possible to widely disseminate health information via social media. Medical staff's health communication through social media can improve the public's health literacy, and improving the intention of health communication among nursing undergraduates is of great significance for them to actively carry out health communication after entering clinical practice.

Objective

To explore the relationship among eHealth literacy, social media self-efficacy, and health communication intention and to determine the mediating role of social media self-efficacy in the relationship between eHealth literacy and health communication intention.

Design

A cross-sectional descriptive correlation design was used in this study.

Participants

Stratified cluster sampling was used to select 958 nursing students from four nursing colleges in Jiangsu Province, China, from June to July 2021.

Methods

Data were collected using the eHealth Literacy Scale, the Social Media Self-efficacy Scale, and the Health Communication Intention Questionnaire. Sociodemographic data were also collected. Correlation analysis and regression analysis were used to determine the relationship between eHealth literacy, social media self-efficacy, and health communication intention.

Results

Health communication intention is positively correlated with eHealth literacy and social media self-efficacy. There is a significant positive correlation between eHealth literacy and health communication intention (β = 0.57, p < 0.001), and social media self-efficacy played a mediating role in the influence of eHealth literacy on health communication intention (the mediating effect accounted for 37.2% of the total effect).

Conclusion

The study found that eHealth literacy and social media self-efficacy had an impact on health communication intention. Because there is a correlation between eHealth literacy and social media self-efficacy and health communication intention, in order to promote health communication intention of nursing students, it is also important to cultivate eHealth literacy and social media self-efficacy of nursing students. In view of these results, targeted educational programs must be developed to improve eHealth literacy and social media self-efficacy among nursing undergraduates, thereby promoting their health information transmission.

Measuring knowledge contribution performance of physicians in online health communities: A BP neural network approach

Extant literature on measuring the performance of physicians’ knowledge contribution in an online health community (OHC) is limited. To address this gap, this article aims to (1) develop a measurement model for physicians’ knowledge contribution performance; (2) use BP neural network to assign reasonable weight to each indicator of the model; and (3) explore the status and differences of knowledge contribution performance among a group of physicians. Based on the sample of 5407 infectious disease physicians in a Chinese OHC, we propose the measurement model by integrating physicians’ active knowledge contribution (AKC) and responsive knowledge contribution (RKC), covering 11 dimensions of contribution quantity and quality. We employ the BP neural network to optimise the model weights using the initial weight of the model obtained by the entropy method. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the performance of physicians’ knowledge contribution in the OHC. The results show that it is feasible to use BP neural network to assign model weights. The distribution of physicians’ knowledge contribution performance is uneven; only a few have a high-level knowledge contribution performance. Meanwhile, a significant positive correlation exists between a physician’s title and respective knowledge contribution performance. Our research may contribute to related literature and practices by offering a fine-grained understanding of the performance of physicians’ knowledge contribution.

The study on the impact of short video tourism Vloggers at social media platform on online sharing intention

COVID-19 has caused significant damage globally, including tourism. This study adopts the quantitative research method, selects 588 samples from tourists watching short videos to investigate the antecedents and effects of parasocial interaction between tourists and short video tourism Vloggers, and analyses them with partial least squares. Based on parasocial relationship theory, this study investigates the antecedents of parasocial relationships between tourists and short video tourism Vloggers and their willingness to share short video tourism. Results show that the consistency of values, entertainment motivation, and emotional engagement positively impact the parasocial relationships between tourists and short video tourism Vloggers and affect the online sharing intention through the parasocial relationship. The consistency of values can directly affect sharing intention. As an intermediary variable, parasocial relationship positively impacts value congruence, entertainment motivation, emotional engagement, and sharing intention. This study introduces parasocial relationship into the research of tourism short video Vloggers, which enriches the literature. Furthermore, this introduction provides new marketing strategies and suggestions for the sustainable development of tourism.

Distorted Human Decision-Making as a Critical Aspect of Pandemic Planning and Preparedness

The United States continues to experience lower than expected vaccination rates against COVID-19 due to a variety of barriers such as lack of trust, lack of planning, cultural perspectives and issues, suboptimal communication, and political/economic conflicts of interest. In this paper issues of human behavior and decision-making are highlighted as integral to understanding the generally poor US response to the SARS-CoV-2 pandemic. In particular, the US pandemic response was significantly distorted through a combination of cultural and human behavior issues related to conflicting leadership, cultural individualism, the prevalent idea of the democratization of expertise, and a false epistemological lens for decision-making. Including experts from multiple disciplines reveals how to address the human behavioral side of pandemic planning and operations to increase vaccine coverage rates. Including content experts from psychology and the social sciences allows the explicit recognition and preparation for distorted human behavior in planning for future pandemic response.

Health information seeking and sharing behavior of young adults on social media in Pakistan

Social media such as Facebook, YouTube, WhatsApp, and Twitter have radically enhanced the public access to health information. Still, studies have unexplored the factors that contribute toward such behaviors especially in developing countries. Therefore, this study identifies the factors that contribute to the likelihood of young adults’ health information seeking and sharing on social media. Specifically, drawing upon health belief model (HBM), the study attempts to understand how health belief and e-Health literacy affects health information seeking and sharing on social media. The study collected data from 413 young adults through Google Forms on a random basis. The results generated applying structural equation modeling confirmed that HBM related factors such as perceived susceptibility, perceived severity and perceived benefits positively while perceived barriers negatively influence young adults’ health information seeking and sharing intentions on social media. Furthermore, e-Health literacy was positively associated with health information seeking and sharing intentions on social media. This study is amongst a first few studies in the context of developing world to investigate the young adults’ intentions of seeking and sharing health information on social media based on HBM.

Online Medical Misinformation in Cancer: Distinguishing Fact From Fiction

It is without question that the Internet has democratized access to medical information, with estimates that 70% of the American population use it as a resource, particularly for cancer-related information. Such unfettered access to information has led to an increase in health misinformation. Fortunately, the data indicate that health care professionals remain among the most trusted information resources. Therefore, understanding how the Internet has changed engagement with health information and facilitated the spread of misinformation is an important task and challenge for cancer clinicians. In this review, we perform a meta-synthesis of qualitative data and point toward empirical evidence that characterizes misinformation in medicine, specifically in oncology. We present this as a call to action for all clinicians to become more active in ongoing efforts to combat misinformation in oncology.

What Influences Physicians' Online Knowledge Sharing? A Stimulus-Response Perspective

During the COVID-19 pandemic, online health platforms and physicians' online knowledge sharing played an important role in public health crisis management and disease prevention. What influences physicians' online knowledge sharing? From the psychological perspective of stimulus-response, this study aims to explore how patients' visit and patients' consultation influence physicians' online knowledge sharing considering the contingent roles of physicians' online expertise and online knowledge sharing experience. Based on 6-month panel data of 45,449 physician-month observations from an online health platform in China, the results indicate that both patients' visit and patients' consultation are positive related to physicians' online knowledge sharing. Online expertise weakens the positive effect of patients' consultation on physicians' online knowledge sharing. Online knowledge sharing experience weakens the positive relationship between visit of patient and physicians' online knowledge sharing, and enhances the positive relationship between patients' consultation and physicians' online knowledge sharing. This study contributes to the literatures about stimulus-response in psychology and knowledge sharing, and provides implications for practice.

Factors Affecting Physicians' Credibility on Twitter When Sharing Health Information: Online Experimental Study

Background

Largely absent from research on how users appraise the credibility of professionals as sources for the information they find on social media is work investigating factors shaping credibility within a specific profession, such as physicians.

Objective

We address debates about how physicians can show their credibility on social media depending on whether they employ a formal or casual appearance in their profile picture. Using prominence-interpretation theory, we posit that formal appearance will affect perceived credibility based on users' social context-specifically, whether they have a regular health care provider.

Methods

For this experiment, we recruited 205 social media users using Amazon Mechanical Turk. We asked participants if they had a regular health care provider and then randomly assigned them to read 1 of 3 Twitter posts that varied only in the profile picture of the physician offering health advice. Next, we tasked participants with assessing the credibility of the physician and their likelihood of engaging with the tweet and the physician on Twitter. We used path analysis to assess whether participants having a regular health care provider impacted how the profile picture affected their ratings of the physician's credibility and their likelihood to engage with the tweet and physician on Twitter.

Results

We found that the profile picture of a physician posting health advice in either formal or casual attire did not elicit significant differences in credibility, with ratings comparable to those having no profile image. Among participants assigned the formal appearance condition, those with a regular provider rated the physician higher on a credibility than those without, which led to stronger intentions to engage with the tweet and physician.

Conclusions

The findings add to existing research by showing how the social context of information seeking on social media shapes the credibility of a given professional. Practical implications for professionals engaging with the public on social media and combating false information include moving past debates about casual versus formal appearances and toward identifying ways to segment audiences based on factors like their backgrounds (eg, experiences with health care providers).

Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study

Background

The scientific community is just beginning to uncover the potential long-term effects of COVID-19, and one way to start gathering information is by examining the present discourse on the topic. The conversation about long COVID-19 on Twitter provides insight into related public perception and personal experiences.

Objective

The aim of this study was to investigate the #longCOVID and #longhaulers conversations on Twitter by examining the combined effects of topic discussion and social network analysis for discovery on long COVID-19.

Methods

A multipronged approach was used to analyze data (N=2500 records from Twitter) about long COVID-19 and from people experiencing long COVID-19. A text analysis was performed by both human coders and Netlytic, a cloud-based text and social networks analyzer. The social network analysis generated Name and Chain networks that showed connections and interactions between Twitter users.

Results

Among the 2010 tweets about long COVID-19 and 490 tweets by COVID-19 long haulers, 30,923 and 7817 unique words were found, respectively. For both conversation types, “#longcovid” and “covid” were the most frequently mentioned words; however, through visually inspecting the data, words relevant to having long COVID-19 (ie, symptoms, fatigue, pain) were more prominent in tweets by COVID-19 long haulers. When discussing long COVID-19, the most prominent frames were “support” (1090/1931, 56.45%) and “research” (435/1931, 22.53%). In COVID-19 long haulers conversations, “symptoms” (297/483, 61.5%) and “building a community” (152/483, 31.5%) were the most prominent frames. The social network analysis revealed that for both tweets about long COVID-19 and tweets by COVID-19 long haulers, networks are highly decentralized, fragmented, and loosely connected.

Conclusions

This study provides a glimpse into the ways long COVID-19 is framed by social network users. Understanding these perspectives may help generate future patient-centered research questions.

Role of factors in eHealth literacy in period of COVID-19: a study of Turkey

Purpose

This study aims to understand the eHealth literacy skills of chronic patients and to explore the relations, patterns between eHealth literacy skills and different factors such as demographics, search strategies and health information sources and to explain their effects on eHealth literacy in Turkey in Izmir in COVID-19 outbreak.

Design/methodology/approach

A quantitative method was used in the study including a questionnaire. A total of 604 chronic patients responded to the questionnaire who applied the five popularly identified hospitals in Izmir in Turkey. CHAID analysis method was implemented to explore the strongest correlation between eHealth literacy and independent variables.

Findings

Using different social media types were correlated with patients’ eHealth literacy scores. Using Facebook, Twitter were the supportive predictors for the eHealth literacy scores. However, digital literacy was highly important for eHealth literacy.

Originality/value

This study shows that the social media channels which provides much more information such as Facebook and Twitter for the chronic patient. This could be beneficial for the eHealth tools and social media content developers in terms of the supply of health information. Moreover, the study gives ideas about the effect of digital literacy and the importance of health information provided.

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19

Social media has played a pivotal role in polarising views on politics, climate change, and more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses serious challenges to society as it could enable 'digital wildfires' that can wreak havoc worldwide. While the effects of SMIP have been extensively studied, there is limited understanding of the interplay between two key components of this phenomenon: confirmation bias (reinforcing one's attitudes and beliefs) and echo chambers (i.e., hear their own voice). This paper addresses this knowledge deficit by exploring how manifestations of confirmation bias contributed to the development of 'echo chambers' at the height of the Covid-19 pandemic. Thematic analysis of data collected from 35 participants involved in supply chain information processing forms the basis of a conceptual model of SMIP and four key cross-cutting propositions emerging from the data that have implications for research and practice.

Should doctors use or avoid medical terms? The influence of medical terms on service quality of E-health

With epidemics and pandemics like COVID-19, many offline healthcare services have been suspended and shifted to online, where patients and doctors typically communicate by typing texts. The limited communication poses a threat to the service quality of E-health, and also raises higher demand on the language skills of doctors, in which medical terms are a common concern. Traditional studies of offline healthcare mostly hold a negative attitude towards the use of medical terms by doctors. However, should we still advise doctors to avoid using medical terms in E-health? To answer this question, this paper conducts a study combining technical and empirical analyses based on real data. In this paper, a novel unsupervised text-mining method is proposed to automatically identify medical terms with crowd wisdom from large-scale doctor-patient communication texts. Then, a TREC-type experiment is carried out to validate the proposed method in terms of Precision, Recall, and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$F_1$$\end{document}F1-measure, demonstrating that it can identify accurate and comprehensive medical terms. Based on the identified medical terms, an empirical analysis is conducted to verify the influence of medical terms used by doctors on the service quality of E-health. The analysis results show that for patients with low health literacy, the use of medical terms by doctors would decrease their service quality. However, for patients with high health literacy, the use of medical terms by doctors can significantly increase their service quality, revealing that doctors could improve their service quality in E-health by adjusting their medical term usage according to the health literacy of patients.