Believing and sharing misinformation, fact-checks, and accurate information on social media: The role of anxiety during COVID-19

A new era for stress research: supporting user performance and experience in the digital age

Stress is both a driver of objective performance impairments and a source of negative user experience of technology. This review addresses future directions for research on stress and ergonomics in the digital age. The review is structured around three levels of analysis. At the individual user level, stress is elicited by novel technologies and tasks including interaction with AI and robots, working in Virtual Reality, and operating autonomous vehicles. At the organisational level, novel, potentially stressful challenges include maintaining cybersecurity, surveillance and monitoring of employees supported by technology, and addressing bias and discrimination in the workplace. At the sociocultural level, technology, values and norms are evolving symbiotically, raising novel demands illustrated with respect to interactions with social media and new ethical challenges. We also briefly review the promise of neuroergonomics and emotional design to support stress mitigation. We conclude with seven high-level principles that may guide future work.

Heuristic Information Processing as a Mediating Factor in the Process of Exposure to COVID-19 Vaccine Information and Misinformation Sharing on Social Media

Social media use for risk communication during the COVID-19 pandemic has caused considerable concerns about an overabundance of information, particularly misinformation. However, how exposure to COVID-19 information on social media can lead to subsequent misinformation sharing during the pandemic has received little research attention. This study adopted the social amplification of risk framework to delineate how exposure to COVID-19 vaccine information on social media can be associated with individuals' misinformation sharing through heuristic information processing. The role of social media trust was also examined. Results from an online survey (N = 1488) of Chinese Internet users revealed that exposure to COVID-19 vaccine information on social media was associated with misinformation sharing, mediated by both affect heuristics (i.e., negative affect toward the COVID-19 pandemic in general) and availability heuristics (i.e., perceived misinformation availability). Importantly, both high and low levels of trust in social media strengthened the mediating associations. While a low level of trust strengthened the association between exposure to COVID-19 vaccine information on social media and the affect heuristics, a high level of trust strengthened its association with the availability heuristics, both of which were associated with misinformation sharing. Our findings suggest that heuristic information processing is essential in amplifying the spread of misinformation after exposure to risk information on social media. It is also suggested that individuals should maintain a middle level of trust in social media, being open while critical of risk information on social media.

Effects of Scanning Health News Headlines on Trust in Science: An Emotional Framing Perspective

Rooted in the emotions-as-frames model (EFM), this research examines how hope, fear, and annoyance are evoked through health news headline scanning, and how these emotions influence perceptions of news and medical science institutions as well as health behavioral intentions. A sample of U.S. adults (N = 327) were assigned to one of four headline framing conditions expected to associate with different emotions (positive future frame-hope; threat frame-fear/anxiety; reversal frame-annoyance; and control-neutral) and then asked about their emotional states, trust in science and news, and health-related behavioral intentions. Overall, health news headlines generated more hope than any other emotion across all conditions, and positive future-framed headlines evoked more hope than other framed headlines. Felt hope, in turn, generated greater trust in news and science, higher expectations of medical breakthroughs and cures, and greater intention to engage in preventative health behaviors. Felt anxiety had marginal positive benefits whereas felt annoyance negatively impacted the outcomes of interest. Notably, felt emotion mediated the headline frame-outcome relationships in the positive future/hope condition. These findings offer some support for the EFM and demonstrate that scanning headlines imbued with specific emotional frames can influence important health-related outcomes through the emotions they evoke. We discuss both the theoretical and practical implication of these findings.

Accuracy-sensitisation promotes the sharing of pro- (but not anti-) vaccine information

OBJECTIVE

This study investigated (i) factors predicting the seeking and sharing of vaccinerelated information, and (ii) the effect of an accuracy-sensitisation prime on sharing intentions. Design:This was a preregistered online survey with 213 participants. Participants were randomly assigned to an intervention group (who were exposed to an accuracy-sensitisation prime) or a control group.

DESIGN

This was a preregistered online survey with 213 participants. Participants were randomly assigned to an intervention group (who were exposed to an accuracy-sensitisation prime) or a control group.

MAIN OUTCOME MEASURES

Measures included decision-making style, COVID-19 anxiety, and percentages of pro and anti-vaccine friends. We also measured preferences to seek pro or anti-vaccine-related information and sharing intentions with respect to this information.

RESULTS

Compared with those seeking both pro and anti-vaccine information, participants seeking only pro-vaccine information had lower hypervigilance and buck-passing and higher COVID-19 anxiety. The likelihood of sharing anti-vaccine information was positively predicted by the percentage of one's anti-vaccine friends, the size of one's social network, and conservative political orientation. Conversely, the likelihood of sharing pro-vaccine information was positively predicted by the percentage of one's pro-vaccine friends, and liberal political orientation. Participants sensitised to accuracy were significantly more likely to share provaccine information; however, accuracy-sensitisation had no effect on anti-vaccine information sharing.

CONCLUSIONS

Individuals who seek anti-vaccine information have a tendency towards disorganised and impulsive decision-making. Accuracy-sensitisation may prime people to internalise a norm promoting truth-sharing.

Epidemic modeling for misinformation spread in digital networks through a social intelligence approach

Online digital networks, including social networks, have significantly impacted individuals' personal and professional lives. Aside from exchanging news and topics of interest, digital networks play an essential role in the diffusion of information, which frequently significantly impacts worldwide societies. In this paper, we present a new mathematical epidemic model for digital networks that considers the sentiment of solitary misinformation in the networks and characteristics of human intelligence that play an important role in judging and spreading misinformation inside the networks. Our mathematical analysis has proved the existence and validity of the system in a real-time environment. Considering the real-world data, our simulation predicts how the misinformation could spread among different global communities and when an intervention mechanism should have to be carried out by the policyholders. Our simulation using the model proves that effective intervention mechanisms by isolating the fake news can effectively control the spread of misinformation among larger populations. The model can analyze the emotional and social intelligence of groups frequently subjected to disinformation and disseminating fake news.

Investigation of Public Acceptance of Misinformation Correction in Social Media Based on Sentiment Attributions: Infodemiology Study Using Aspect-Based Sentiment Analysis

BACKGROUND

The proliferation of misinformation on social media is a significant concern due to its frequent occurrence and subsequent adverse social consequences. Effective interventions for and corrections of misinformation have become a focal point of scholarly inquiry. However, exploration of the underlying causes that affect the public acceptance of misinformation correction is still important and not yet sufficient.

OBJECTIVE

This study aims to identify the critical attributions that influence public acceptance of misinformation correction by using attribution analysis of aspects of public sentiment, as well as investigate the differences and similarities in public sentiment attributions in different types of misinformation correction.

METHODS

A theoretical framework was developed for analysis based on attribution theory, and public sentiment attributions were divided into 6 aspects and 11 dimensions. The correction posts for the 31 screened misinformation events comprised 33,422 Weibo posts, and the corresponding Weibo comments amounted to 370,218. A pretraining model was used to assess public acceptance of misinformation correction from these comments, and the aspect-based sentiment analysis method was used to identify the attributions of public sentiment response. Ultimately, this study revealed the causality between public sentiment attributions and public acceptance of misinformation correction through logistic regression analysis.

RESULTS

The findings were as follows: First, public sentiments attributed to external attribution had a greater impact on public acceptance than those attributed to internal attribution. The public associated different aspects with correction depending on the type of misinformation. The accuracy of the correction and the entity responsible for carrying it out had a significant impact on public acceptance of misinformation correction. Second, negative sentiments toward the media significantly increased, and public trust in the media significantly decreased. The collapse of media credibility had a detrimental effect on the actual effectiveness of misinformation correction. Third, there was a significant difference in public attitudes toward the official government and local governments. Public negative sentiments toward local governments were more pronounced.

CONCLUSIONS

Our findings imply that public acceptance of misinformation correction requires flexible communication tailored to public sentiment attribution. The media need to rebuild their image and regain public trust. Moreover, the government plays a central role in public acceptance of misinformation correction. Some local governments need to repair trust with the public. Overall, this study offered insights into practical experience and a theoretical foundation for controlling various types of misinformation based on attribution analysis of public sentiment.

Impact of National Lockdown Measures on the Association Between Social Media Use and Sleep Disturbance During COVID-19: A Meta-Analysis of 21 Nations

During the COVID-19 pandemic, the extensive lockdown measures implemented for disease mitigation triggered a surge in round-the-clock social media use, giving rise to widespread concerns regarding its impact on sleep health. This meta-analysis examined the association between social media use and sleep disturbance during the pandemic, along with potential moderators. The dataset included 43 independent samples comprising 68,247 residents of 21 countries across 7 world regions. The three-level mixed-effects meta-analysis revealed a weak, positive overall effect size (r = 0.1296, 95% confidence interval: 0.0764-0.1828, k = 90). The magnitude of the effect size varied by the type of social media use: compulsive use exhibited a moderately strong effect size, whereas information-focused use showed marginal significance. The effect size was more pronounced in countries imposing stricter (vs. less strict) lockdown measures. Lockdown status also moderated this association, with a marginally significant effect size observed during lockdowns but a significant effect size after lockdowns. For demographics, samples involving emerging adults demonstrated moderately strong effect sizes, whereas those involving the general population had modest effect sizes. Notably, the interaction between the type of social media use and lockdown status was significant. Specifically, the positive association with information-focused use was significant only during lockdowns, whereas that with general use was significant after, but not during, lockdowns. However, compulsive use showed a moderately strong effect size both during and after lockdowns. These findings underscored the importance of considering multiple factors-such as the type of social media use, context, and demographics-when studying social media use and sleep health.

What Influences Audience Susceptibility to Fake Health News: An Experimental Study Using a Dual Model of Information Processing in Credibility Assessment

This experimental study investigates the effects of several heuristic cues and systematic factors on users' misinformation susceptibility in the context of health news. Specifically, it examines whether author credentials, writing style, and verification check flagging influence participants' intent to follow article behavioral recommendations provided by the article, perceived article credibility, and sharing intent. Findings suggest that users rely only on verification checks (passing/failing) in assessing information credibility. Of the two antecedents to systematic processing, social media self-efficacy moderates the links between verification and participants' susceptibility. Theoretical and practical implications are discussed.

Study on the impact of COVID-19 pandemic on the mental health of Chinese college students: a cross-sectional analysis

Background

The COVID-19 pandemic has significantly impacted the mental health of college students, prompting the need for universities to implement measures to mitigate these adverse effects. This study aims to assess the mental health status and mitigation measures of college students, identify the primary factors contributing to their mental health challenges, and provide suggestions for educational institutions to reduce negative psychological impacts.

Methods

In February 2023, a questionnaire survey was conducted among 1,445 college students. Statistical analysis was performed on the survey results, and multiple regression models were used to identify significant influencing factors and optimize the model.

Results

The study revealed correlations between factors affecting mental health during the pandemic, with interactions observed among some factors. Significant differences in mental health status were found among different groups of college students based on their information-sharing habits through apps and engagement in thesis research. Multiple regression analysis indicated that conducting academic research related to COVID-19 significantly increased the psychological stress of college students during the pandemic (p = 0.043). Among all mitigation measures, playing games demonstrated significant effectiveness in model analysis (p = 0.047). The optimization of the model showed that the multiple regression model considering the interaction of factors was more effective.

Conclusion

Our research identifies crucial factors influencing the mental health of college students and investigates the mental health status of various student groups. We recommend that educational institutions adopt proactive strategies and a multifaceted approach to support the mental health of college students and address potential issues that may arise.

Belief-consistent information is most shared despite being the least surprising

In the classical information theoretic framework, information "value" is proportional to how novel/surprising the information is. Recent work building on such notions claimed that false news spreads faster than truth online because false news is more novel and therefore surprising. However, another determinant of surprise, semantic meaning (e.g., information's consistency or inconsistency with prior beliefs), should also influence value and sharing. Examining sharing behavior on Twitter, we observed separate relations of novelty and belief consistency with sharing. Though surprise could not be assessed in those studies, belief consistency should relate to less surprise, suggesting the relevance of semantic meaning beyond novelty. In two controlled experiments, belief-consistent (vs. belief-inconsistent) information was shared more despite consistent information being the least surprising. Manipulated novelty did not predict sharing or surprise. Thus, classical information theoretic predictions regarding perceived value and sharing would benefit from considering semantic meaning in contexts where people hold pre-existing beliefs.

[Mis- and disinformation in social media: mitigating risks in digital health communication]

Misinformation and disinformation in social media have become a challenge for effective public health measures. Here, we examine factors that influence believing and sharing false information, both misinformation and disinformation, at individual, social, and contextual levels and discuss intervention possibilities.At the individual level, knowledge deficits, lack of skills, and emotional motivation have been associated with believing in false information. Lower health literacy, a conspiracy mindset and certain beliefs increase susceptibility to false information. At the social level, the credibility of information sources and social norms influence the sharing of false information. At the contextual level, emotions and the repetition of messages affect belief in and sharing of false information.Interventions at the individual level involve measures to improve knowledge and skills. At the social level, addressing social processes and social norms can reduce the sharing of false information. At the contextual level, regulatory approaches involving social networks is considered an important point of intervention.Social inequalities play an important role in the exposure to and processing of misinformation. It remains unclear to which degree the susceptibility to belief in and share misinformation is an individual characteristic and/or context dependent. Complex interventions are required that should take into account multiple influencing factors.

What motivates individuals to share information with governments when adopting health technologies during the COVID-19 pandemic?

BACKGROUND

While digital governance has been adopted by governments around the world to assist in the management of the COVID-19 pandemic, the effectiveness of its implementation relies on the collection and use of personal information. This study examines the willingness of individuals to engage in information-sharing with governments when adopting health technologies during the COVID-19 pandemic.

METHODS

Data were obtained from a cross-sectional survey of 4,800 individuals drawn from 16 cities in China in 2021. Tobit regression models were used to assess the impacts of an array of determinants on an individual's willingness to share information with governments when adopting health technologies.

RESULTS

Individuals who perceived a higher level of helpfulness, risk, expectations from others, weariness toward privacy issues, and were sensitive to positive outcomes were more willing to share information with governments when adopting health technologies during the COVID-19 pandemic. Across all the subgroups, self-efficacy only reduced the willingness to share information with governments for individuals who spent more than seven hours per day online. The negative impacts of being sensitive to negative outcomes on the willingness to share information were only found among females and the less educated group.

CONCLUSIONS

This study revealed the seemingly paradoxical behavior of individuals who perceived high risks of sharing information and a sense of fatigue toward privacy issues yet continued to be willing to share their information with their governments when adopting health technologies during the COVID-19 pandemic. This work highlighted significant differential motivations for sharing information with governments when using health technologies during a pandemic. Tailored policies that resonate with population sub-groups were suggested to be proposed to facilitate crisis management in future situations.

Association between cultural capital and health literacy during the COVID-19 pandemic among community residents in China: the mediating effect of social capital

Background

Health literacy is crucial for managing pandemics such as COVID-19 and maintaining the health of the population; our goal was to investigate the impact of cultural capital on health literacy during the COVID-19 pandemic among community residents and to further examine the mediating role of social capital in the relationship between cultural capital and health literacy.

Methods

A cross-sectional study was conducted among 1,600 community residents selected in Chongqing, China using a stratified random sampling method. Data were gathered through a questionnaire survey, including sociodemographic characteristics, cultural capital, social capital, and health literacy. Chi-square analysis, one-way ANOVA, t-test, and hierarchical linear regression were used to analyze the level of health literacy among community residents and the related elements; the structural equation model (SEM) was used to explore the influential mechanisms of health literacy and explore whether social capital acted as a mediator in the relationship between cultural capital and health literacy.

Results

Cultural capital, community participation, community trust, reciprocity, and cognitive social capital had a significant positive effect on health literacy. In addition, the results of SEM indicated that cultural capital not only directly influences health literacy (β = 0.383, 95% CI = 0.265-0.648), but also indirectly influences health literacy through three types of social capital (β = 0.175, 95% CI = 0.117-0.465; β = 0.191, 95% CI = 0.111-0.406; β = 0.028, 95% CI = 0.031-0.174); its mediating effect accounting for 50.7% of the overall effect.

Conclusions

Our results highlight the empirical link between cultural capital and health literacy, and suggest that social capital mediates this connection. These findings suggest that governments and communities should focus on the construction of community cultural capital and provide residents with better social capital to improve their health literacy to prepare for future pandemics.

Social media use and paediatric practice: Hippocratic help, hype or harm?

Social media is increasingly a part of our personal and professional life and is here to stay. Here, I reflect on issues surrounding the use of social media (SMU) in the digital health context by clinicians in Australian paediatric health care. I aim to briefly highlight some inherent multifactorial and contextual ethical considerations which mainly relate to professionalism; including boundaries, obligations to patients and families within the therapeutic alliance, and balancing the help, hype and harm of SMU in clinical practice. I conclude that digital health and SMU are ubiquitous, and can be beneficial if used circumspectly with Hippocratic principles that have been updated for the modern era and are grounded in ancient moral codes. Unfettered SMU however, without adherence to ethical and legal guidelines is problematic, and may expose patients, families and clinicians to significant risk of harm and moral vulnerability. Justifiable, explicit, consistent and regularly reviewed boundaries, both professional and personal, are ethically advisable. These should reflect, and adapt to, the rapidly evolving nature of social media as imprudent digital health and SMU without proportionate limits, may undermine still relevant Hippocratic tenets, and the primacy of doing no harm.

Social Media Fact-Checking: The Effects of News Literacy and News Trust on the Intent to Verify Health-Related Information

The recent health crisis and the rapid development of Artificial Intelligence have caused misinformation on social media to flourish by becoming more sophisticated and challenging to detect. This calls upon fact-checking and questions users' competencies and attitudes when assessing social media news. Our study provides a model of how fact-checking intent is explained by news literacy and news trust to examine how users behave in the misinformation-prone social media environment. Structural equation modeling was used to examine survey data gathered from social media users. The findings revealed that users' intent to fact-check information in social media news is explained by (1) news literacy, such as the awareness of various techniques used by creators to depict situations about COVID-19; (2) news trust, in terms of the conviction that the news contains all the essential facts; and (3) intent, such as an aim to check information in multiple pieces of news. The presented findings may aid policymakers and practitioners in developing efficient communication strategies for addressing users less prone to fact-checking. Our contribution offers a new understanding of news literacy as a sufficient tool for combating misinformation, which actively equips users with knowledge and an attitude for social media news fact-checking.

COVID-19 vaccine-related misinformation identification among Chinese residents during a regional outbreak

Objectives

Misinformation about the COVID vaccines poses a significant challenge to vaccination efforts in many countries. This study examined Chinese citizens' ability to correctly identify COVID-19 vaccine misinformation in geographic areas with and without a regional outbreak. We also investigated the associations between misinformation identification and information source usage, source trust, perceived information quality, and demographic characteristics.

Setting

The online survey was conducted in four cities from June 8th to 15th, 2021 in Guangdong Province, two of which were experiencing a regional surge of COVID-19 delta variant infections, and four cities in Hunan Province, a neighboring province largely unaffected.

Participants

A total of 4,479 individuals aged 18 and above completed the online questionnaire. Given survey length, those who finished the study under 5 min were excluded, resulting in a final sample of 3,800.

Outcome measurements

Misinformation identification, source exposure, source trust, and perceived information quality.

Results

Results showed slightly higher levels of correct misinformation identification in surge vs. non-surge areas. Trust in official information sources was positively associated with correct misinformation identification in full sample analysis, while trust in informal sources was negatively associated with the same outcome. Perceived information quality was positively associated with correct misinformation identification in the full sample.

Conclusion

Information providers in China should enhance the quality of the vaccine information they provide, and the Chinese public should balance their usage of different sources of information to acquire vaccine knowledge.

Rise of post-pandemic resilience across the distrust ecosystem

Why does online distrust (e.g., of medical expertise) continue to grow despite numerous mitigation efforts? We analyzed changing discourse within a Facebook ecosystem of approximately 100 million users who were focused pre-pandemic on vaccine (dis)trust. Post-pandemic, their discourse interconnected multiple non-vaccine topics and geographic scales within and across communities. This interconnection confers a unique, system-level (i.e., at the scale of the full network) resistance to mitigations targeting isolated topics or geographic scales-an approach many schemes take due to constrained funding. For example, focusing on local health issues but not national elections. Backed by numerical simulations, we propose counterintuitive solutions for more effective, scalable mitigation: utilize "glocal" messaging by blending (1) strategic topic combinations (e.g., messaging about specific diseases with climate change) and (2) geographic scales (e.g., combining local and national focuses).

The Impact of COVID-19 on Trends of Violence-Related Offences in Australia

OBJECTIVE

To investigate the medium-term impacts of the COVID-19 pandemic on violence-related offences in Australia, and whether there was evidence of a 'dual pandemic' of family violence in addition to COVID-19.

METHODS

Autoregressive Integrated Moving Average time series were conducted to analyse publicly available violent crime statistics data from January 2017 to November 2021. Population rates of homicide, sexual, domestic and non-domestic assault were assessed across each Australian state and territory, with the effects of COVID-19 being modelled using the average monthly World Health Organization COVID-19 stringency rating for each jurisdiction.

FINDINGS

All jurisdictions in Australia showed increasing or stable domestic assault trends over the past decade, which were not significantly impacted by COVID-19, nor by the subsequent lockdowns. Non-domestic assaults demonstrated a significant, negative relationship with the stringency index for each jurisdiction, except Western Australia. There was no significant change in the rates of homicide or sexual assault across Australia in relation to COVID-19.

CONCLUSION

Overall, there was no evidence of a 'dual pandemic' in Australia, and whilst domestic assaults continue to increase across the country, non-domestic assaults showed a notable but brief decline. However, these have returned to levels at least as high as pre-COVID-19 and some states show a continuing upward trend. The findings also suggest that alcohol availability may have played a role in continuing high violence numbers. Given the ongoing increasing and high levels of family violence in Australia, revised conceptual frameworks and interventions are indicated.

Understanding and combatting misinformation across 16 countries on six continents

The spread of misinformation online is a global problem that requires global solutions. To that end, we conducted an experiment in 16 countries across 6 continents (N = 34,286; 676,605 observations) to investigate predictors of susceptibility to misinformation about COVID-19, and interventions to combat the spread of this misinformation. In every country, participants with a more analytic cognitive style and stronger accuracy-related motivations were better at discerning truth from falsehood; valuing democracy was also associated with greater truth discernment, whereas endorsement of individual responsibility over government support was negatively associated with truth discernment in most countries. Subtly prompting people to think about accuracy had a generally positive effect on the veracity of news that people were willing to share across countries, as did minimal digital literacy tips. Finally, aggregating the ratings of our non-expert participants was able to differentiate true from false headlines with high accuracy in all countries via the 'wisdom of crowds'. The consistent patterns we observe suggest that the psychological factors underlying the misinformation challenge are similar across different regional settings, and that similar solutions may be broadly effective.

Perceived risk, emotions, and stress in response to COVID-19: The interplay of media use and partisanship

Relationships between risk perceptions, emotions, and stress are well-documented, as are interconnections between stress, emotion, and media use. During the early COVID-19 pandemic, the public responded psychologically to the threat posed by the pandemic, and frequently utilized media for information and entertainment. However, we lack a comprehensive picture of how perceived risk, emotion, stress, and media affected each other longitudinally during this time. Further, although response to the pandemic was highly politicized, research has yet to address how partisan affiliation moderated relationships between risk, emotion, stress, and media use over time. This three-wave (N = 1021) panel study assessed the interplay of risk, emotion, stress, and media use for Americans with different political affiliations between March and May of 2020. Findings indicate that perceived risk, emotion, and stress at Time 1 predicted media use at Time 2, with predictors varying by type of media. Use of entertainment media and social/mobile media predicted later stress (Time 3), but news consumption did not. Later risk perceptions (Time 3) were not influenced by media use at Time 2. The predictors and consequences of different types of media use were notably different for Republicans and Democrats. In particular, risk perceptions predicted greater news use among Democrats but greater entertainment media use among Republicans. Moreover, social/mobile media use resulted in perceiving the risks of COVID-19 as less serious for Republicans while increasing stress over time for Democrats.

Explaining Health Misinformation Belief through News, Social, and Alternative Health Media Use: The Moderating Roles of Need for Cognition and Faith in Intuition

Explaining the spread and impact of health misinformation has garnered considerable attention with the uptake of social media and group messaging applications. This study contributes to that line of work by investigating how reliance on multiple digital media may help support or suppress misinformation belief, and how individual differences in misinformation susceptibility condition this process. Alternative health outlets (AH media), advocating home/homeopathic remedies over conventional medicine can be important sources of misinformation, yet are largely ignored previously. In this study, we first test how reliance on different platforms predicts health misinformation belief. Drawing from the elaboration likelihood model, we further investigate how need for cognition (NFC) and faith in intuition (FI) moderate the relationship between news reliance and susceptibility to misinformation. We conducted a survey in Singapore, Turkey, and the U.S (N = 3,664) to measure how these proposed relationships explain misinformed beliefs about vaccines, genetically modified foods and alternative medicine. We found reliance on online legacy news was negatively associated with the likelihood of believing health misinformation, while the reverse was true for social media and AH media. Additionally, those with both greater NFC and FI were more susceptible to health misinformation when they relied on social media and AH media more. In contrast, neither NFC nor FI moderated the relationship between reliance on online legacy news and health misinformation belief. These findings, mostly consistent across countries, also show that extensive reliance on social media and AH media for news mostly overwhelms the individual differences in predicting misinformation belief.

Science communication in the media and human mobility during the COVID-19 pandemic: a time series and content analysis

OBJECTIVES

The relationship between human mobility and nature of science (NOS) salience in the UK news media was examined.

STUDY DESIGN

This is a mixed-method study.

METHODS

A time series NOS salience data set was established from the content analysis of 1520 news articles related to non-pharmaceutical interventions of COVID-19. Data were taken from articles published between November 2021 and February 2022, which correlates with period of the change from pandemic to endemic status. Vector autoregressive model fitting with human mobility took place.

RESULTS

The findings suggest that it was not the number of COVID-19 news articles nor the actual number of cases/deaths, but the specific NOS content that was associated with mobility change during the pandemic. Data indicate a Granger causal negative direction (P < 0.1) for the effect of the NOS salience represented in the news media on mobility in parks, as well as the effect of scientific practice, scientific knowledge and professional activities communicated in news media on recreational activities and grocery shopping. NOS salience was not associated with the mobility for transit, work or residential locations (P > 0.1).

CONCLUSIONS

The findings of the study suggest that the ways in which the news media discuss epidemics can influence changes in human mobility. It is therefore essential that public health communicators emphasise the basis of scientific evidence to eliminate potential media bias in health and science communication for the promotion of public health policy. The present study approach, which combines time series and content analysis and uses an interdisciplinary lens from science communication, could also be adopted to other interdisciplinary health-related topics.

Dynamics of Negative Discourse toward COVID-19 Vaccines: A Topic Modeling Study and an annotated dataset of Twitter Posts

BACKGROUND

Since the onset of the COVID-19 pandemic, vaccines have been an important topic in public discourse. The discussions around vaccines are polarized as some see them as an important measure to end the pandemic, and others are hesitant or find them harmful. A significant portion of these discussions takes place openly on social media platforms. This allows us to closely monitor the opinions of different groups and their changes over time.

OBJECTIVE

This study investigates posts related to COVID-19 vaccines on Twitter and focuses on those which have negative stances toward vaccines. We look into the evolution of the percentage of negative tweets over time. We also examine the different topics discussed in these tweets in order to understand the concerns and discussion points of those holding a negative stance toward the vaccines.

METHODS

A dataset of 16,713,238 English tweets related to COVID-19 vaccines was collected covering the period from March 1, 2020, to July 31, 2021. We used the Scikit-learn Python library to apply a support vector machine (SVM) classifier to identify the tweets with a negative stance toward COVID-19 vaccines. A total of 5,163 tweets were used to train the classifier, out of which a subset of 2,484 tweets were manually annotated by us and made publicly available along with this paper. We used the BERTtopic model to extract and investigate the topics discussed within the negative tweets and how they changed over time.

RESULTS

We show that the negativity with respect to COVID-19 vaccines has decreased over time along with the vaccine roll-outs. We identify 37 topics of discussion and present their respective importance over time. We show that popular topics consist of conspiratorial discussions such as 5G towers and microchips, but also contain legitimate concerns around vaccination safety and side effects as well as concerns about policies. The most prevalent topic among vaccine-hesitant tweets is related to the use of mRNA and fears about speculated negative effects on our DNA.

CONCLUSIONS

Hesitancy toward vaccines existed prior to COVID-19. However, given the dimension and circumstances surrounding the COVID-19 pandemic, some new areas of hesitancy and negativity toward the COVID-19 vaccines have arisen, for example, whether there has been enough time for them to be properly tested. There is also an unprecedented amount of conspiracy theories associated with them. Our study shows that even unpopular opinions or conspiracy theories can become widespread when paired with a widely popular discussion topic such as COVID-19 vaccines. Understanding the concerns and the discussed topics and how they change over time is essential for policymakers and public health authorities to provide better in-time information and policies, to facilitate vaccination of the population in future similar crises.

Effects of media on preventive behaviour during the COVID-19 pandemic

The novel coronavirus 2019 (COVID-19) pandemic required implementation of a variety of measures. In addition to pharmaceutical measures, such as vaccines, changing individuals' nonpharmaceutical preventive behaviour is essential to prevent the spread of infection. In uncertain situations, such as a pandemic, media sources are important for guiding individuals' decision-making behaviour. In this study, we examined the effects of media use on preventive behaviour during COVID-19. Earlier studies have shown that social networking service (SNS) browsing promotes preventive behaviour. However, those studies only assessed a single point during the early stages of the pandemic; therefore, the effects on ongoing preventive behaviour are unclear. Thus, a two-wave panel survey was conducted in 2020 and 2021 for an exploratory analysis of changes in the effects of media on individuals' preventive behaviour over time. The results show that the effect of SNS browsing on preventing going out was confirmed only during the early stage of the pandemic and was not observed 1 year later. It is also shown that those who shifted from self-restraint to going out within 1 year were not affected by the type of media use, but by cognitive factors. As the situation changes during a pandemic, analyses that consider time-series changes are essential for gaining insights about the effects of media on the promotion and maintenance of continuous prevention behaviours.

Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19

Misinformation has been existed for centuries, though emerge as a severe concern in the age of social media, and particularly during COVID-19 global pandemic. As the pandemic approached, a massive influx of mixed quality data appeared on social media, which had adverse effects on society. This study highlights the possible factors contributing to the sharing and spreading misinformation through social media during the crisis. Preferred Reporting Items and Meta-Analysis guidelines were used for systematic review. Anxiety or risk perception associated with COVID-19 was one of the significant motivators for misinformation sharing, followed by entertainment, information seeking, sociability, social tie strength, self-promotion, trust in science, self-efficacy, and altruism. WhatsApp and Facebook were the most used platforms for spreading rumors and misinformation. The results indicated five significant factors associated with COVID-19 misinformation sharing on social media, including socio-demographic characteristics, financial considerations, political affiliation or interest, conspiracy ideation, and religious factors. Misinformation sharing could have profound consequences for individual and society and impeding the efforts of government and health institutions to manage the crisis. This SLR focuses solely on quantitative studies, hence, studies are overlooked from a qualitative standpoint. Furthermore, this study only looked at the predictors of misinformation sharing behavior during COVID-19. It did not look into the factors that could curb the sharing of misinformation on social media platforms as a whole. The study's findings will help the public, in general, to be cautious about sharing misinformation, and the health care workers, and institutions, in particular, for devising strategies and measures to reduce the flow of misinformation by releasing credible information through concerned official social media accounts. The findings will be valuable for health professionals and government agencies to devise strategies for handling misinformation during public health emergencies.

A qualitative study on health stigma and discrimination in the first year of the COVID-19 pandemic: Lessons learnt from a public health perspective

Background

Stigmatisation, misinformation and discrimination have been magnified globally due to the COVID-19 pandemic. The healthcare sector was not spared from this. We conducted a transnational study, using the Health Stigma and Discrimination framework (HSDF) to explore public perception and reactions to the COVID-19 pandemic in a multicultural context. Findings from the Asian arm of the study, sited in Singapore, are reported in this paper.

Methods

This phenomenological research deployed semi-structured informant interviews using non-probability sampling approaches to recruit members of the public. Interviews were coded independently by two researchers and thematic analysis was used to analyse the responses.

Results

Twenty-nine members of the public (23-80 years old) were interviewed between Oct 2020 to Feb 2021. Five major themes were identified: (i) perception of stigma amongst respondents, (ii) experiences of stigma amongst respondents, (iii) views on what drove stigma and misinformation, (iv) facilitators in preventing and reducing stigma and misinformation, and (v) ageist attitudes towards older adults. Overall, construction workers living in dormitories, healthcare workers, and to some extent tourists from China, were perceived to have been stigmatised and shunned by the public. Place-based stigmatisation was common; participants responded by avoiding places that had confirmed cases of COVID-19. Perceived stigma was temporary and not enduring, driven at the outset by fear of being infected. This study also identified the role played by trust in reducing stigmatisation. The relative absence of politicising of issues and high-quality information readily disseminated to the public were reported as factors that could have reduced and prevented stigma and misinformation on the various groups. Ageist attitudes were observed in some participants with older adults being labelled as vulnerable, susceptible to misinformation and being less able to cope during the pandemic.

Conclusion

Through the lens of the HSDF, this study provided an exploratory account of the nature of stigma that resulted from the COVID-19 pandemic in an Asian context. It also shed light on facilitators in preventing and reducing stigma during an outbreak especially the role of trust and communications during a public health crisis.

Democrats and independents stigmatize people with COVID-19 greater compared to Republicans

Messaging about COVID-19 was different across the political spectrum, which influenced differences in attitudes surrounding COVID-19. This study examined the political affiliation/ideology on COVID-19 stigma (blame, deservingness of help, negative emotionality) and two mediators of this relationship: conspiracy beliefs and anxiety about COVID-19. Participants answered questions about their political affiliation and ideology, attitudes toward people who have contracted COVID-19; and COVID-19 conspiracy beliefs and anxiety. Democrats and Independents indirectly stigmatized people with COVID-19 via increased COVID-19 anxiety and fewer COVID-19 conspiracy beliefs relative to Republicans. Politicization can strongly impact stigma, and messaging could be harnessed as a stigma reduction tool.

To wear or not to wear? Unpacking the #NoMask discourses and conversations on Twitter

In the context of the COVID-19 health crisis, the use of face masks has been a topic broadly debated. In many Western countries, especially at the heights of the pandemic, discussions on the use of protective facemasks were often linked to what were mainly political considerations, often fueled by health-related misinformation. Our study brings together social sciences and computer science expertise to retrospectively unpack the #NoMask discourses and conversations using both network analysis approaches on big data retrieved from Twitter and qualitative analyses on sub-sets of relevant social media data. By looking comparatively at two dataset gathered at different stages of the health crisis (2020 and 2022), we aim to better understand the role of Twitter in that interesting area where the dissemination of health misinformation became capitalized by the political narrative linking the social discontent caused by the socio-economic impacts of the pandemic to specific political ideologies. Our analyses show that there has never been a unique 'NoMask movement,' nor a defined online community. Rather, we can identify a range of relatively niche, loosely connected, and heterogeneous actors that, in the course of the pandemic, independently pushed diverse (but converging and compatible) discourses. Conversations directly linked to the #NoMask relevant hashtags are overall limited, as twitters using them are not talking to each other; nonetheless, they successfully engaged a larger audience.

Red media, blue media, and misperceptions: examining a moderated serial mediation model of partisan media use and COVID-19 misperceptions

Misinformation and misperceptions about COVID-19 have undermined democratic system. Partisan media are regarded as one of the culprits for facilitating the spread of misinformation. Grounded in the extended communication mediation model, this study analyzes a U.S. survey sample and examines the conditional indirect effects of partisan media use on COVID-19 related misperceptions. Findings show that using conservative and liberal media both have positive effects on misperceptions and message derogation. Conservative media use has a negative impact on perceived response efficacy, whereas liberal media use positively influenced it. Furthermore, the effect of liberal media use on misperceptions became negative when serially mediated by perceived response efficacy and message derogation. Lastly, discussion network heterogeneity was a significant moderator, such that the indirect effects of partisan media use on misperceptions became weaker among those with a more heterogeneous discussion network. Theoretical and practical implications are discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03772-x.

How Health-Related Misinformation Spreads Across the Internet: Evidence for the "Typhoon Eye" Effect

Online health-related misinformation has become a major problem in society and in-depth research is needed to understand its propagation patterns and underlying mechanisms. This study proposes a psychological typhoon eye effect to understand how health-related misinformation spreads during the pandemic using two national studies. In Study 1, we collected online search data from the United States and China to explore the relationship between the physical distance from the epicenter and the spread of health-related misinformation. Two common pieces of health-related misinformation were examined: "Microwaves kill coronavirus" in the United States and "Taking a hot bath can prevent against COVID-19" in China. Our results indicated a "typhoon eye effect" in the spread of two actual pieces of health-related misinformation using online data from the United States and China. In Study 2, we fabricated a piece of health-related misinformation, "Wash Clothes with Salt Water to Block Infection," and measured the spread behavior and perceived credibility of the misinformation. Again, we observed a typhoon eye effect on the spread behavior as well as the perceived credibility of health-related misinformation among people with limited education. In addition, based on the stimulus-organism-response theory, perceived credibility could serve as a mediator in the relationship between physical distance from the epicenter and the spread of health-related misinformation. Our results highlight the importance of psychological approaches to understanding the propagation patterns of health-related misinformation. The present findings provide a new perspective for development of prevention and control strategies to reduce the spread of health-related misinformation during pandemics.

Social Media News Use and COVID-19 Misinformation Engagement: Survey Study

BACKGROUND

Social media is widely used as a source of news and information regarding COVID-19. However, the abundance of misinformation on social media platforms has raised concerns regarding the spreading infodemic. Accordingly, many have questioned the utility and impact of social media news use on users' engagement with (mis)information.

OBJECTIVE

This study offers a conceptual framework for how social media news use influences COVID-19 misinformation engagement. More specifically, we examined how news consumption on social media leads to COVID-19 misinformation sharing by inducing belief in such misinformation. We further explored if the effects of social media news use on COVID-19 misinformation engagement depend on individual differences in cognition and personality traits.

METHODS

We used data from an online survey panel administered by a survey agency (Qualtrics) in Singapore. The survey was conducted in March 2022, and 500 respondents answered the survey. All participants were older than 21 years and provided consent before taking part in the study. We used linear regression, mediation, and moderated mediation analyses to explore the proposed relationships between social media news use, cognitive ability, personality traits, and COVID-19 misinformation belief and sharing intentions.

RESULTS

The results suggested that those who frequently used social media for news consumption were more likely to believe COVID-19 misinformation and share it on social media. Further probing the mechanism suggested that social media news use translated into sharing intent via the perceived accuracy of misinformation. Simply put, social media news users shared COVID-19 misinformation because they believed it to be accurate. We also found that those with high levels of extraversion than those with low levels were more likely to perceive the misinformation to be accurate and share it. Those with high levels of neuroticism and openness than those with low levels were also likely to perceive the misinformation to be accurate. Finally, it was observed that personality traits did not significantly influence misinformation sharing at higher levels of cognitive ability, but low cognitive users largely drove misinformation sharing across personality traits.

CONCLUSIONS

The reliance on social media platforms for news consumption during the COVID-19 pandemic has amplified, with dire consequences for misinformation sharing. This study shows that increased social media news consumption is associated with believing and sharing COVID-19 misinformation, with low cognitive users being the most vulnerable. We offer recommendations to newsmakers, social media moderators, and policymakers toward efforts in limiting COVID-19 misinformation propagation and safeguarding citizens.

What Drives People to Share Misinformation on Social Media during the COVID-19 Pandemic: A Stimulus-Organism-Response Perspective

(1) Background: Misinformation is prevalent on social media in the age of COVID-19, exacerbating the threat of the pandemic. Uncovering the processes underlying people's misinformation sharing using social media assists people to cope with misinformation during the COVID-19 pandemic. This study extends the stimulus-organism-response framework to examine how individuals' social media dependency relates to their misinformation sharing behavior, with a focus on the underlying processes. (2) Methods: A total of 393 valid questionnaires were collected using a survey method to test the proposed research model. (3) Results: The results demonstrate that informational dependency and social dependency engender both positive and negative cognitive states, namely perceived information timeliness, perceived socialization and social overload, which then invoke positive as well as negative affect. What is more, the results show that both positive affect and negative affect can engender misinformation sharing. (4) Conclusions: Theoretically, this study uncovers the processes that lead to misinformation sharing on social media during the COVID-19 pandemic. Practically, this study provides actionable guidelines on how to manage social media usage and social media content to cope with misinformation sharing during the pandemic.

Older adults' prevention and communication to beat anxiety: the diminishing utility of proactive coping actions

This study aims to investigate older adults' psychological reactions when facing changes in daily life caused by the COVID-19 pandemic and anti-epidemic measures. Specifically, this study investigated the impacts of communication types (i.e., electronic and face-to-face communication) and frequency during the pandemic and the kinds of proactive coping actions taken by older adults on their anxiety. A total of 43,019 respondents were included in this study by merging two longitudinal databases. One is the seventh wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) conducted in 2017, and the other is the COVID-19 Survey of SHARE, which was conducted between June and August 2020. This study found that one third of older adults reported anxiety symptoms during the COVID-19 pandemic and one fifth reported increased anxiety than before the pandemic. Anxiety symptoms seem somewhat prevalent among older adults during the COVID-19 pandemic. During the pandemic, the more kinds of proactive coping actions taken by older adults, the more likely they felt anxious. As the pandemic continues and develops, taking proactive coping actions might no longer alleviate anxiety in older adults, showing a diminishing utility. In addition, face to face communication was found to decrease the likelihood of anxiety symptoms in older adults, whereas the opposite impact of electronic communication was found. For older adults, contacting others by electronic means may increase their anxiety feeling during the COVID-19 pandemic.

COVID-19 Related Shifts in Social Interaction, Connection, and Cohesion Impact Psychosocial Health: Longitudinal Qualitative Findings from COVID-19 Treatment Trial Engaged Participants

While effective for slowing the transmission of SARS-CoV-2, public health measures, such as physical distancing and stay-at-home orders, have significantly shifted the way people interact and maintain social connections. To better understand how people sought social and psychological support amid the pandemic, we conducted a longitudinal qualitative evaluation of participants enrolled in a COVID-19 treatment trial (N = 30). All participants from the parent trial who consented to being contacted for future research studies were recruited electronically via email, and first-round virtual interviews were conducted between December 2020 and March 2021. Participants who participated in first-round interviews were contacted again, and follow-up interviews were conducted in January-February 2022. The results reported significant shifts in how participants connected to social support, including changes from physical to virtual modalities, and using different social networks for distinct purposes (i.e., Reddit/Facebook for information, WhatsApp for community connection). While having COVID-19, profound loneliness during isolation was described; yet, to mitigate effects, virtual support (i.e., emotional, knowledge-seeking) as well as in-person material support (e.g., groceries, snow-shoveling), were key. Public health efforts are needed to develop interventions that will improve the narratives about mental health challenges related to COVID-19 isolation, and to provide opportunities to share challenges in a supportive manner among social networks. Supporting social cohesion, despite the everchanging nature of COVID-19, will necessitate innovative multimodal strategies that learn from lived experiences across various stages of the pandemic.

Information Seeking and Processing during the Outbreak of COVID-19 in Taiwan: Examining the Effects of Emotions and Informational Subjective Norms

Adopting the model of risk information seeking and processing (RISP) as a theoretical framework, the objective of this study was to investigate the factors that prompted individuals' information-seeking and -processing behaviors during the COVID-19 pandemic in Taiwan. There were two unique aspects in this study: one was to adopt specific emotions to investigate the impact of negative emotions, and the other was to examine the effect of informational subjective norms (ISNs) on information-seeking and -processing behavior. An online survey was conducted by a professional polling company, and a stratified random sampling method was employed, using gender, age, education, personal income, and residential areas as strata to select participants. This study obtained 1100 valid questionnaires. The results showed that (1) risk perception did not exert any significant impacts on respondents' perceived information insufficiency; (2) risk perception exerted a powerful impact on respondents' ISNs, which, in turn, positively affected their information insufficiency; (3) the respondents who experienced fear were found to have a high probability of using a systematic-processing mode, while the respondents who experienced anger were more likely to adopt a heuristic-processing mode to process information; and (4) the use of a systematic-processing mode was positively associated, while the use of a heuristic-processing mode was negatively associated, with information-seeking behavior.

Channels Adopted for Information Seeking during COVID-19: Comparing Social Media with News Media and Interpersonal Communication in Taiwan

By adopting niche theory, this study compared social media with news media and interpersonal communication regarding their capabilities in satisfying people's information needs of daily use, surveillance, convenience, and information quality during the outbreak of COVID-19. Two methods were adopted to collect data for this study: the first was to conduct 20 intensive interviews, and the second was to administer an online survey by contracting a professional polling company with a panel of 8.8 million members. The stratified random sampling method was used to acquire a representative sample, from which 1100 valid questionnaires were obtained. The results showed that: (1) Social media were superior to traditional news media in terms of its convenience. However, several new types of online news, such as Yahoo news, were able to compete with social media for convenience. (2) Interpersonal communication did not outperform in satisfying individuals' needs for the four gratifications. Nevertheless, interpersonal communication plays the role of social support for individuals.

Welcoming new life under lockdown: Exploring the experiences of first-time mothers who gave birth during the COVID-19 pandemic

OBJECTIVES

This study aimed to explore how first-time mothers in the UK experienced new parenthood during the coronavirus (COVID-19) pandemic.

DESIGN

This study used a cross-sectional exploratory, qualitative interview design.

METHODS

Semi-structured interviews were conducted with ten first-time mothers who had given birth since COVID-19 was declared as a pandemic. Verbatim transcripts were analysed using reflexive thematic analysis.

RESULT

Experiences of new, first-time mothers during the COVID-19 pandemic were organized around two themes. First, new mothers felt an overwhelming sense of responsibility for their baby which was heightened by the pandemic. The challenge of meeting this responsibility was heightened in the context of societal expectations to do the 'right' thing and uncertainty and distrust around official guidance about COVID-19. Secondly, the expected transition into motherhood was altered by the pandemic. Disruption to the birthing experience, an inability to connect with close friends and family, and limited healthcare support was perceived to be detrimental. However, altered social expectations and the increased presence of the partner were perceived as positives.

CONCLUSION

Many of the common challenges experienced by new, first-time mothers have been amplified by the COVID-19 pandemic. Public policy and scientific research must target this group in order to protect this population from the negative impact of the remaining COVID-19 pandemic and any future pandemics.

Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study

Background

There is need to consider the value of soft intelligence, leveraged using accessible natural language processing (NLP) tools, as a source of analyzed evidence to support public health research outputs and decision-making.

Objective

The aim of this study was to explore the value of soft intelligence analyzed using NLP. As a case study, we selected and used a commercially available NLP platform to identify, collect, and interrogate a large collection of UK tweets relating to mental health during the COVID-19 pandemic.

Methods

A search strategy comprised of a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a readily and commercially available NLP platform to explore tweet frequency and sentiment across the United Kingdom and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. All collated tweets were anonymized.

Results

We identified and analyzed 286,902 tweets posted from UK user accounts from July 23, 2020 to January 6, 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume (between 12,622 and 51,340) and sentiment (between 25% and 49%) appeared to coincide with key changes to any local and/or national social distancing measures. Tweets around mental health were polarizing, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government.

Conclusions

Using an NLP platform, we were able to rapidly mine and analyze emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analyzed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.

Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd

Individuals' unverified information sharing on social media, namely, sharing information without verification, is a major cause of the widespread misinformation amid the COVID-19 pandemic. The association between perceived information overload and unverified information sharing has been well documented in the cognitive overload approach. However, little is known about the underlying mechanism of this process. This study aims to explore the mediating role of anxiety and the moderating role of perceived herd between perceived information overload and unverified information sharing on WeChat. Anxiety demonstrates people's emotional response to the pandemic, whereas perceived herd describes a willingness to share certain information if it has been shared by many. The results of an online survey in China (N = 525) showed that perceived information overload was positively associated with unverified information sharing. In addition, this relationship was partially mediated by anxiety. Moreover, perceived herd positively moderated the link between anxiety and unverified information sharing, such that the indirect effect of perceived information overload on unverified information sharing via anxiety was significant in conditions where the level of perceived herd was high, whereas the indirect effect was not significant in conditions where the level of perceived herd was low. The moderated mediation model extends the cognitive overload approach and indicates that unverified information sharing is not only an individual strategy to cope with information overload but also a herding behavior to manage anxiety. Practical implications for curbing people's tendencies toward unverified information sharing on social media are discussed.

Multifaceted Nature of Social Media Content Propagating COVID-19 Vaccine Hesitancy: Ukrainian Case

COVID-19 became an issue affecting different parts of our life. Different communication campaigns use vaccination as an information peg, argument in discussions, and so on. As a result, they have an impact on people's attitudes to immunization. We applied the message analysis to the dataset of social media posts from Ukraine to detect the messages used in the communication regarding the vaccine and reveal communication campaigns propagating these messages. We found five campaigns launched by different actors and shaping the attitude to COVID-19 immunization expressed in the people's posts. The incoherence of the information about immunization and authorities' inconsistency in the communications about vaccines may lead to vaccine hesitancy and undermine confidence in the sources of the official information about COVID-19. Vaccine hesitancy has multifaceted nature and cannot be reduced just to politicians' conspiracy theories or far-right propaganda.

The importance of social media users' responses in tackling digital COVID-19 misinformation in Africa

Objective

Digital technologies present both an opportunity and a threat for advancing public health. At a time of pandemic, social media has become a tool for the rapid spread of misinformation. Mitigating the impacts of misinformation is particularly acute across Africa, where WhatsApp and other forms of social media dominate, and where the dual threats of misinformation and COVID-19 threaten lives and livelihoods. Given the scale of the problem within Africa, we set out to understand (i) the potential harm that misinformation causes, (ii) the available evidence on how to mitigate that misinformation and (iii) how user responses to misinformation shape the potential for those mitigating strategies to reduce the risk of harm.

Methods

We undertook a multi-method study, combining a rapid review of the research evidence with a survey of WhatsApp users across Africa.

Results

We identified 87 studies for inclusion in our review and had 286 survey respondents from 17 African countries. Our findings show the considerable harms caused by public health misinformation in Africa and the lack of evidence for or against strategies to mitigate against such harms. Furthermore, they highlight how social media users' responses to public health misinformation can mitigate and exacerbate potential harms. Understanding the ways in which social media users respond to misinformation sheds light on potential mitigation strategies.

Conclusions

Public health practitioners who utilise digital health approaches must not underestimate the importance of considering the role of social media in the circulation of misinformation, nor of the responses of social media users in shaping attempts to mitigate against the harms of such misinformation.

COVID-19 news valence effects on emotion and its modulation by a relaxation: A randomized online experiment during COVID-19 pandemic

This study evaluated how news with positive and negative content about COVID-19, as well as a relaxation pause, affect the emotional state. We also investigated the association between emotional state and practicing meditation/yoga, physical activity or having a mental disease. For that, a sample of 717 participants, recruited through social media, were randomly assigned to listen to negative or positive news about COVID-19. After that, both groups were guided through a short relaxation pause. Their emotional state was measured before they listened to the audios and after each audio. Mixed linear models were used to evaluate the effects of news group, relaxation pause, mental health and well-being practices. Negative news worsened their emotional state, whereas positive news improved it. A brief relaxation pause improved the effects of negative news content and may mitigate the effects of this valence of information. Practicing physical activity, meditation/yoga was associated with better emotional responses.