A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises.

BACKGROUND: The COVID-19 pandemic was a "wake up" call for public health agencies. Often, these agencies are ill-prepared to communicate with target audiences clearly and effectively for community-level activations and safety operations. The obstacle is a lack of data-driven approaches to obtaining insights from local community stakeholders. Thus, this study suggests a focus on listening at local levels given the abundance of geo-marked data and presents a methodological solution to extracting consumer insights from unstructured text data for health communication. METHODS: This study demonstrates how to combine human and Natural Language Processing (NLP) machine analyses to reliably extract meaningful consumer insights from tweets about COVID and the vaccine. This case study employed Latent Dirichlet Allocation (LDA) topic modeling, Bidirectional Encoder Representations from Transformers (BERT) emotion analysis, and human textual analysis and examined 180,128 tweets scraped by Twitter Application Programming Interface's (API) keyword function from January 2020 to June 2021. The samples came from four medium-sized American cities with larger populations of people of color. RESULTS: The NLP method discovered four topic trends: "COVID Vaccines," "Politics," "Mitigation Measures," and "Community/Local Issues," and emotion changes over time. The human textual analysis profiled the discussions in the selected four markets to add some depth to our understanding of the uniqueness of the different challenges experienced. CONCLUSIONS: This study ultimately demonstrates that our method used here could efficiently reduce a large amount of community feedback (e.g., tweets, social media data) by NLP and ensure contextualization and richness with human interpretation. Recommendations on communicating vaccination are offered based on the findings: (1) the strategic objective should be empowering the public; (2) the message should have local relevance; and, (3) communication needs to be timely.

Unintended consequences of communicating rapid COVID-19 vaccine policy changes- a qualitative study of health policy communication in Ontario, Canada.

BACKGROUND: The success of the COVID-19 vaccination roll-out depended on clear policy communication and guidance to promote and facilitate vaccine uptake. The rapidly evolving pandemic circumstances led to many vaccine policy amendments. The impact of changing policy on effective vaccine communication and its influence in terms of societal response to vaccine promotion are underexplored; this qualitative research addresses that gap within the extant literature. METHODS: Policy communicators and community leaders from urban and rural Ontario participated in semi-structured interviews (N = 29) to explore their experiences of COVID-19 vaccine policy communication. Thematic analysis was used to produce representative themes. RESULTS: Analysis showed rapidly changing policy was a barrier to smooth communication and COVID-19 vaccine roll-out. Continual amendments had unintended consequences, stimulating confusion, disrupting community outreach efforts and interrupting vaccine implementation. Policy changes were most disruptive to logistical planning and community engagement work, including community outreach, communicating eligibility criteria, and providing translated vaccine information to diverse communities. CONCLUSIONS: Vaccine policy changes that allow for prioritized access can have the unintended consequence of limiting communities' access to information that supports decision making. Rapidly evolving circumstances require a balance between adjusting policy and maintaining simple, consistent public health messages that can readily be translated into action. Information access is a factor in health inequality that needs addressing alongside access to vaccines.

Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data.

BACKGROUND: Twitter has become a dominant source of public health data and a widely used method to investigate and understand public health-related issues internationally. By leveraging big data methodologies to mine Twitter for health-related data at the individual and community levels, scientists can use the data as a rapid and less expensive source for both epidemiological surveillance and studies on human behavior. However, limited reviews have focused on novel applications of language analyses that examine human health and behavior and the surveillance of several emerging diseases, chronic conditions, and risky behaviors. OBJECTIVE: The primary focus of this scoping review was to provide a comprehensive overview of relevant studies that have used Twitter as a data source in public health research to analyze users' tweets to identify and understand physical and mental health conditions and remotely monitor the leading causes of mortality related to emerging disease epidemics, chronic diseases, and risk behaviors. METHODS: A literature search strategy following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extended guidelines for scoping reviews was used to search specific keywords on Twitter and public health on 5 databases: Web of Science, PubMed, CINAHL, PsycINFO, and Google Scholar. We reviewed the literature comprising peer-reviewed empirical research articles that included original research published in English-language journals between 2008 and 2021. Key information on Twitter data being leveraged for analyzing user language to study physical and mental health and public health surveillance was extracted. RESULTS: A total of 38 articles that focused primarily on Twitter as a data source met the inclusion criteria for review. In total, two themes emerged from the literature: (1) language analysis to identify health threats and physical and mental health understandings about people and societies and (2) public health surveillance related to leading causes of mortality, primarily representing 3 categories (ie, respiratory infections, cardiovascular disease, and COVID-19). The findings suggest that Twitter language data can be mined to detect mental health conditions, disease surveillance, and death rates; identify heart-related content; show how health-related information is shared and discussed; and provide access to users' opinions and feelings. CONCLUSIONS: Twitter analysis shows promise in the field of public health communication and surveillance. It may be essential to use Twitter to supplement more conventional public health surveillance approaches. Twitter can potentially fortify researchers' ability to collect data in a timely way and improve the early identification of potential health threats. Twitter can also help identify subtle signals in language for understanding physical and mental health conditions.

Online dashboards for SARS-CoV-2 wastewater data need standard best practices: An environmental health communication agenda.

The COVID-19 pandemic has highlighted the benefits of wastewater surveillance to supplement clinical data. Numerous online information dashboards have been rapidly, and typically independently, developed to communicate environmental surveillance data to public health officials and the public. In this study, we review dashboards presenting SARS-CoV-2 wastewater data and propose a path toward harmonization and improved risk communication. A list of 127 dashboards representing 27 countries was compiled. The variability was high and encompassed aspects including the graphics used for data presentation (e.g., line/bar graphs, maps, and tables), log versus linear scale, and 96 separate ways of labeling SARS-CoV-2 wastewater concentrations. Globally, dashboard presentations also differed by region. Approximately half of the dashboards presented clinical case data, and 25% presented variant monitoring. Only 30% of dashboards provided downloadable source data. While any single dashboard is likely useful in its own context and locality, the high variation across dashboards at best prevents optimal use of wastewater surveillance data on a broader geographical scale and at worst could lead to risk communication issues and the potential for public health miscommunication. There is a great opportunity to improve scientific communication through the adoption of uniform data presentation conventions, standards, and best practices in this field.

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning.

BACKGROUND: Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformation on social media, through which many US adults receive and engage with news. Digital misinformation continues to challenge the efforts of public health officials in providing accurate and timely information to the public. We examine the evolving topic distributions of social media narratives during the mpox outbreak to map the tension between rapidly diffusing misinformation and public health communication. OBJECTIVE: This study aims to observe topical themes occurring in a large-scale collection of tweets about mpox using deep learning. METHODS: We leveraged a data set comprised of all mpox-related tweets that were posted between May 7, 2022, and July 23, 2022. We then applied Sentence Bidirectional Encoder Representations From Transformers (S-BERT) to the content of each tweet to generate a representation of its content in high-dimensional vector space, where semantically similar tweets will be located closely together. We projected the set of tweet embeddings to a 2D map by applying principal component analysis and Uniform Manifold Approximation Projection (UMAP). Finally, we group these data points into 7 topical clusters using k-means clustering and analyze each cluster to determine its dominant topics. We analyze the prevalence of each cluster over time to evaluate longitudinal thematic changes. RESULTS: Our deep-learning pipeline revealed 7 distinct clusters of content: (1) cynicism, (2) exasperation, (3) COVID-19, (4) men who have sex with men, (5) case reports, (6) vaccination, and (7) World Health Organization (WHO). Clusters that largely communicated erroneous or irrelevant information began earlier and grew faster, reaching a wider audience than later communications by official instances and health officials. CONCLUSIONS: Within a few weeks of the first reported mpox cases, an avalanche of mostly false, misleading, irrelevant, or damaging information started to circulate on social media. Official institutions, including the WHO, acted promptly, providing case reports and accurate information within weeks, but were overshadowed by rapidly spreading social media chatter. Our results point to the need for real-time monitoring of social media content to optimize responses to public health emergencies.

Crises information dissemination through social media in the UK and Saudi Arabia: A linguistic perspective.

This study investigates health-promoting messages in British and Saudi officials' social-media discourse during the Coronavirus Disease 2019 (COVID-19) Pandemic. Taking discourse as a constructivist conception, we examined the crisis-response strategies employed by these officials on social media, and the role of such strategies in promoting healthy behaviors and compliance with health regulations. The study presents a corpus-assisted discourse analysis of the tweets of a Saudi health official and a British health official that focuses on keyness, speech acts, and metaphor. We found that both officials utilized clear communication and persuasive rhetorical tactics to convey the procedures suggested by the World Health Organization. However, there were some differences in how the two officials used speech acts and metaphors to achieve their goals. The British official used empathy as the primary communication strategy, while the Saudi official emphasized health literacy. The British official also used conflict-based metaphors such as war and gaming, whereas the Saudi official used metaphors that reflected life as a journey interrupted by the pandemic. Despite these differences, both officials utilized directive speech acts to tell audiences the procedures they should follow to achieve the desired conclusion of healing patients and ending the pandemic. In addition, rhetorical questions and assertions were used to direct people to perform certain behaviors favored. Interestingly, the discourse used by both officials contained characteristics of both health communication and political discourse. War metaphors, which were utilized by the British Health official, are a common feature in political discourse as well as in health-care discourse. Overall, this study highlights the importance of effective communication strategies in promoting healthy behaviors and compliance with health regulations during a pandemic. By analyzing the discourse of health officials on social media, we can gain insights into the strategies employed to manage a crisis and effectively communicate with the public.

Supporting US healthcare providers for successful vaccine communication.

BACKGROUND: While many healthcare providers (HCPs) have navigated patients' vaccine concerns and questions prior to the rollout of the COVID-19 vaccines, sentiments surrounding the COVID-19 vaccines have presented new and distinct challenges. OBJECTIVE: To understand the provider experience of counseling patients about COVID-19 vaccinations, aspects of the pandemic environment that impacted vaccine trust, and communication strategies providers found supportive of patient vaccine education. METHODS: 7 focus groups of healthcare providers were conducted and recorded during December 2021 and January 2022, at the height of the Omicron wave in the United States. Recordings were transcribed, and iterative coding and analysis was applied. RESULTS: 44 focus group participants representing 24 US states with the majority (80%) fully vaccinated at the time of data collection. Most participants were doctors (34%) or physician's assistants and nurse practitioners (34%). The negative impact of COVID-19 misinformation on patient-provider communication at both intrapersonal and interpersonal levels as well as barriers and facilitators to patient vaccine uptake are reported. People or sources that play a role in health communication ("messengers") and persuasive messages that impact behavior or attitudes towards vaccination ("messages") are described. Providers expressed frustration in the need to continuously address vaccine misinformation in clinical appointments among patients who remained unvaccinated. Many providers found value in resources that provided up-to-date and evidence-based information as COVID-19 guidelines continued to change. Additionally, providers indicated that patient-facing materials designed to support vaccination education were not frequently available, but they were the most valuable to providers in a changing information environment. CONCLUSIONS: While vaccine decision-making is complex and hinges on diverse factors such as health care access (i.e., convenience, expense) and individual knowledge, providers can play a major role in navigating these factors with their patients. But to strengthen provider vaccine communication and promote vaccine uptake, a comprehensive communication infrastructure must be sustained to support the patient-provider dyad. The findings provide recommendations to maintain an environment that facilitates effective provider-patient communication at the community, organizational and policy levels. There is a need for a unified multisectoral response to reinforce the recommendations in patient settings.

'Getting the vaccine makes me a champion of it': Exploring perceptions towards peer-to-peer communication about the COVID-19 vaccines amongst Australian adults.

OBJECTIVES: Peer-to-peer communication approaches have been previously described as the 'power of personal referral'. Rather than relying on official channels of information, peer-to-peer communication may have a role in supporting changes in understanding and possibly behaviours. However, in emergency or pandemic situations, there is currently limited understanding of whether community members feel comfortable speaking about their vaccine experiences or advocating to others. This study explored the perceptions of COVID-19 vaccinated and unvaccinated Australian adults regarding their preferences and opinions about peer-peer communication and other vaccine communication strategies. STUDY DESIGN: Qualitative interview research. METHODS: In-depth interviews were conducted in September 2021 with 41 members of the Australian community. Thirty-three participants self-identified as being vaccinated against COVID-19, while the remainder were not vaccinated at the time or did not intend on receiving a COVID vaccine. RESULTS: Amongst those who were vaccinated, participants spoke about being willing to promote the vaccine and correct misinformation and felt empowered following their vaccination. They highlighted the importance of peer-to-peer communication and community messaging, expressing the need for both strategies in an immunisation promotional campaign, with a slight emphasis on the persuasive power of communication between family and friends. However, those who were unvaccinated tended to dismiss the role of community messaging, commenting on a desire not to be like one of the many who listened to the advice of others. CONCLUSION: During emergency situations, governments and other relevant community organisations should consider harnessing peer-to-peer communication amongst motivated individuals as a health communication intervention. However further work is needed to understand the support that this constituent-involving strategy requires. PATIENT OR PUBLIC CONTRIBUTION: Participants were invited to participate through a series of online promotional pathways including emails and social media posts. Those who completed the expression of interest and met the study criteria were contacted and sent the full study participant information documentation. A time for a 30 min semi-structured interview was set and provided with a $50 gift voucher at the conclusion.

Participatory development and implementation of inclusive digital health communication on COVID-19 with homeless people.

Introduction: People experiencing homelessness (PEH) are disproportionally affected by the COVID-19 pandemic. The realities of their daily lives have been given little consideration in the pandemic response. They are not represented in existing health information campaigns, and many are structurally excluded from digital information. The project aimed to develop inclusive COVID-19-information material to strengthen infection prevention and control of PEH. Material and methods: In a participatory process, PEH were involved in the planning, production, and evaluation of poster and video information material on COVID-19. Various stakeholders were consulted for external supervision. Service providers all over Germany were informed about the material that could be ordered free of charge. For the evaluation, semi-structured interviews with homeless service providers and PEH were conducted, and the online views of the videos were measured. Results: Sixteen PEH participated actively in the project. Two COVID-19-information videos were launched in 5 languages in February 2021. Posters promoting vaccination against COVID-19 were produced in 9 languages. As of May 2022, the videos have been viewed more than 2,000 times. A total of 163 service providers for PEH and public institutions received the posters, thereof 72 upon request. Twelve service providers and 8 PEH participated in the evaluation. They pointed out the lack of targeted information material for PEH. The consideration of the concerns and the diverse representation of PEH was perceived as particularly important. Most of the service providers were unable to show the videos due to technical and spatial limitations. Digital challenges for PEH, like the lack of and maintenance of a smart phone, became apparent. Conclusion: The cooperation of research, practice and the community were key factors for the realization of this project. Strong links to the community and the involvement of relevant stakeholders are indispensable when working with PEH. Exclusion from digital information is an increasingly important component of the structural marginalization of PEH. Digital inclusion for PEH and service providers can help to counteract social and health inequalities. The lessons learned through this project can contribute to strengthen participation of PEH and to consider their perspectives in future health communication strategies.

"If your mother does not teach you, the world will ": a qualitative study of parent-adolescent communication on sexual and reproductive health issues in Border districts of eastern Uganda.

BACKGROUND: Adolescents experience a host of sexual and reproductive health (SRH) challenges, with detrimental SRH and socio-economic consequences. These include early sexual debut, sexually transmitted infections including HIV/AIDS, teenage pregnancy, and early childbearing. Parent-adolescent communication about SRH has significant potential to reduce adolescents' risky sexual behaviors. However, communication between parents and adolescents is limited. This study explored the facilitators and barriers to parent-adolescent communication about sexual and reproductive health. METHODS: We conducted a qualitative study in the border districts of Busia and Tororo in Eastern Uganda. Data collection entailed 8 Focus Group Discussions comprising of parents, adolescents (10-17 years), and 25 key informants. Interviews were audio-recorded, transcribed, and translated into English. Thematic analysis was conducted with the aid of NVIVO 12 software. RESULTS: Participants acknowledged the key role parents play in communicating SRH matters; however, only a few parents engage in such discussions. Facilitators of parent-adolescent communication were: having a good parent-child relationship which makes parents approachable and motivates children to discuss issues openly, a closer bond between mothers and children which is partly attributed to gender roles and expectations eases communication, and having parents with high education making them more knowledgeable and confident when discussing SRH issues with children. However, the discussions are limited by cultural norms that treat parent-child conversations on SRH as a taboo, parents' lack of knowledge, and parents busy work schedules made them unavailable to address pertinent SRH issues. CONCLUSION: Parents' ability to communicate with their children is hindered by cultural barriers, busy work schedules, and a lack of knowledge. Engaging all stakeholders including parents to deconstruct sociocultural norms around adolescent SRH, developing the capacity of parents to confidently initiate and convey accurate SRH information, initiation of SRH discussions at early ages, and integrating parent-adolescent communication into parenting interventions, are potential strategies to improve SRH communication between parents and adolescents in high-risk settings such as borders.

Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic.

Background: WeChat has become a potent medium for disseminating public health information, especially during the coronavirus disease 2019 (COVID-19) pandemic. WeChat is important for public health organizations when considering users' information needs and preferences to further explore factors that affect user engagement. Methods: We collected data from WeChat official accounts (WOAs) of the Chinese provincial Center for Disease Control and Prevention (CDC) to identify factors affecting and predicting the behavior of user engagement as measured by the level of reading and re-sharing during different phases of the COVID-19 pandemic between January 1, 2019, and December 31, 2020. We used multiple logistic regression analyses to identify features of articles with higher reading and re-sharing levels from 31 Chinese provincial CDCs. We developed a nomogram to predict the effect on user engagement. Results: We collected a total of 26 302 articles. Release position, title type, article content, article type, communication skills, marketing elements, article length, and video length were key determinants of user engagement. Although the feature patterns also varied between different pandemic stages, the article content, release position, and article type were still the most prominent features driving user engagement. Regarding article content, the COVID-19 pandemic report and guidance for public protection were more likely to obtain high-level reading (normalization: odds ratio (OR) = 12.340, 95% confidence interval (CI) = 9.357-16.274) and re-sharing (normalization: OR = 7.254, 95% CI = 5.554-9.473) than other contents throughout the pandemic. When we compared release position with secondary push, users who used main push were more likely to exhibit high-level reading and re-sharing during any period, especially during normalization (OR = 6.169, 95% CI = 5.554-6.851; OR = 4.230, 95% CI = 3.833-4.669). For article type, a combination of text, links and pictures was associated with a higher rate of reading (normalization: OR = 4.262, 95% CI = 3.509-5.176) and re-sharing level (normalization: OR = 4.480, 95% CI = 3.635-5.522) compared to text only. Simultaneously, the prediction model showed good discriminatory power and calibration. Conclusions: Discrepancies exist in article features between different pandemic stages. Public health agencies should make full use of official WOAs and consider the information needs and preferences of users in order to better carry out health education and health communication with the public when public health events occur.

Social and self-stigma during COVID-19 pandemic: Egyptians' perspectives.

BACKGROUND: Social stigma associated with infectious diseases existed throughout the history of pandemics due to fears of contagion and death. This study aims to assess social and self-stigma resulting from COVID-19 infection and other associated factors in Egypt during the pandemic. METHODS: A cross-sectional study was conducted on 533 adult Egyptians via an online questionnaire. The questionnaire included social stigma toward current and recovered COVID-19 patients and the negative self-image of being a COVID-19 patient. RESULTS: The mean calculated overall COVID-19-related stigma score for the studied sample was 4.7±3.1. The highest reported stigma category was mild stigma: Social stigma towards current COVID-19 patients (88.2%), Social stigma toward recovered COVID-19 patients (64.2%), Negative self-image for being a COVID-19 patient; perceived self-stigma (71.6%) and total stigma score (88.2%) respectively. The overall stigma score was negatively associated with a higher level of education and getting information from healthcare workers and positively associated with getting information from social networks. CONCLUSION: Social and self-stigma related to COVID-19 infection was mild from the Egyptian perspective but found in a large proportion of the population and mainly affected by getting information from healthcare workers or through social media and being more among those with lower education levels. The study recommends more legislative control on social media for disseminating health-related information and conducting awareness campaigns to counteract these adverse effects.

HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis.

INTRODUCTION: The COVID-19 pandemic has increased online interactions and the spread of misinformation. Some researchers anticipate benefits stemming from improved public awareness of the value of vaccines while others worry concerns around vaccine development and public health mandates may have damaged public trust. There is a need to understand whether the COVID-19 pandemic, vaccine development, and vaccine mandates have influenced HPV vaccine attitudes and sentiments to inform health communication strategies. METHODS: We collected 596,987 global English-language tweets from January 2019-May 2021 using Twitter's Academic Research Product track. We determined vaccine confident and hesitant networks discussing HPV immunization using social network analysis. Then, we used a neural network approach to natural language processing to measure narratives and sentiment pertaining to HPV immunization. RESULTS: Most of the tweets in the vaccine hesitant network were negative in tone (54.9%) and focused on safety concerns surrounding the HPV vaccine while most of the tweets in the vaccine confident network were neutral (51.6%) and emphasized the health benefits of vaccination. Growth in negative sentiment among the vaccine hesitant network corresponded with legislative efforts in the State of New York to mandate HPV vaccination for public school students in 2019 and the WHO declaration of COVID-19 as a Global Health Emergency in 2020. In the vaccine confident network, the number of tweets concerning the HPV vaccine decreased during the COVID-19 pandemic but in both vaccine hesitant and confident networks, the sentiments, and themes of tweets about HPV vaccine were unchanged. CONCLUSIONS: Although we did not observe a difference in narratives or sentiments surrounding the HPV vaccine during the COVID-19 pandemic, we observed a decreased focus on the HPV vaccine among vaccine confident groups. As routine vaccine catch-up programs restart, there is a need to invest in health communication online to raise awareness about the benefits and safety of the HPV vaccine.

The COVID-19 Misinfodemic: Moving Beyond Fact-Checking.

Online misinformation regarding COVID-19 has undermined public health efforts to control the novel coronavirus. To date, public health organizations' efforts to counter COVID-19 misinformation have focused on identifying and correcting false information on social media platforms. Citing extant literature in health communication and psychology, we argue that these fact-checking efforts are a necessary, but insufficient, response to health misinformation. First, research suggests that fact-checking has several important limitations and is rarely successful in fully undoing the effects of misinformation exposure. Second, there are many factors driving misinformation sharing and acceptance in the context of the COVID-19 pandemic-such as emotions, distrust, cognitive biases, racism, and xenophobia-and these factors both make individuals more vulnerable to certain types of misinformation and also make them impervious to future correction attempts. We conclude by outlining several additional measures, beyond fact-checking, that may help further mitigate the effects of misinformation in the current pandemic.

Changes in health communication in the age of COVID-19: A study on the dissemination of preprints to the public.

Introduction: Preprints have become an important tool for meeting the challenges of health communication in the context of COVID-19. They allow scientists to disseminate their results more quickly due to the absence of a peer review process. Preprints have been well-received by scientists, however, there have been concerns about the exposure of wider public audiences to preprints due in part to this lack of peer review. Methods: The aim of this study is to examine the dissemination of preprints on medRxiv and bioRxiv during the COVID-19 pandemic using content analysis and statistical analysis. Results: Our findings show that preprints have played an unprecedented role in disseminating COVID-19-related science results to the public. Discussion: While the overall media coverage of preprints is unsatisfactory, digital native news media performed better than legacy media in reporting preprints, which means that we could make the most of digital native media to improve health communication. This study contributes to understanding how science communication has evolved in response to the COVID-19 pandemic and provides some practical recommendations.

The differential effects of a governmental debunking campaign concerning COVID-19 vaccination misinformation.

BACKGROUND: Throughout the ongoing COVID-19 pandemic debunking misinformation has been one of the most employed strategies used to address vaccine hesitancy. We investigated whether - and for whom - debunking is effective or even counterproductive in decreasing misinformation belief and vaccination hesitancy. METHOD: We conducted a randomized controlled trial (N = 588) utilizing a real-world debunking campaign from the German Ministry of Health. We considered the condition (debunking vs. control) as between-subjects factor, assessed misinformation belief (pretest vs. posttest) as a repeated-measures factor and vaccination intention as a dependent variable. Preregistered subgroup analyses were conducted for different levels of a priori misinformation belief and general vaccination confidence. RESULTS: The analyses revealed differential effects on misinformation belief and vaccination intention in participants with low, medium, and high a priori belief: A debunking effect on misinformation belief (dRM = -0.80) was only found in participants with a medium a priori belief and did not extend to these participants' vaccination intentions. Among participants with a high a priori misinformation belief, explorative analysis revealed a small unintended backfiring effect on vaccination intentions (ηp2 = 0.03). CONCLUSIONS: Our findings suggest that debunking is an effective communication strategy to address moderate levels of misinformation beliefs, but it does not constitute a one-fits-all strategy to reduce vaccination hesitancy among the general public. Although countering misinformation should certainly be an integral part of public health communication, additional initiatives, which address individual concerns with targeted and authentic communication, should be taken to enhance the impact on hesitant populations and avoid backfiring effects.

Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter.

BACKGROUND: Throughout the COVID-19 pandemic, US Centers for Disease Control and Prevention policies on face mask use fluctuated. Understanding how public health communications evolve around key policy decisions may inform future decisions on preventative measures by aiding the design of communication strategies (eg, wording, timing, and channel) that ensure rapid dissemination and maximize both widespread adoption and sustained adherence. OBJECTIVE: We aimed to assess how sentiment on masks evolved surrounding 2 changes to mask guidelines: (1) the recommendation for mask use on April 3, 2020, and (2) the relaxation of mask use on May 13, 2021. METHODS: We applied an interrupted time series method to US Twitter data surrounding each guideline change. Outcomes were changes in the (1) proportion of positive, negative, and neutral tweets and (2) number of words within a tweet tagged with a given emotion (eg, trust). Results were compared to COVID-19 Twitter data without mask keywords for the same period. RESULTS: There were fewer neutral mask-related tweets in 2020 (ß=-3.94 percentage points, 95% CI -4.68 to -3.21; P<.001) and 2021 (ß=-8.74, 95% CI -9.31 to -8.17; P<.001). Following the April 3 recommendation (ß=.51, 95% CI .43-.59; P<.001) and May 13 relaxation (ß=3.43, 95% CI 1.61-5.26; P<.001), the percent of negative mask-related tweets increased. The quantity of trust-related terms decreased following the policy change on April 3 (ß=-.004, 95% CI -.004 to -.003; P<.001) and May 13 (ß=-.001, 95% CI -.002 to 0; P=.008). CONCLUSIONS: The US Twitter population responded negatively and with less trust following guideline shifts related to masking, regardless of whether the guidelines recommended or relaxed mask usage. Federal agencies should ensure that changes in public health recommendations are communicated concisely and rapidly.