Anti-vaccine Sentiment Research Articles

Information sources and vaccination in the COVID-19 pandemic

Among the issues that remained contentious throughout the pandemic was vaccination: its efficacy, side effects, and the general reluctance of a substantial segment of the population to get vaccinated. The aim of this paper is to understand the role of health information sources in anti-vaccination sentiment and the decision to vaccinate. Regression models were used to analyze data from an online survey of adults in the United States in late 2021 (n = 10,221). The results of the study showed that: (a) information from local and national health experts had a significant positive association with getting the COVID-19 vaccine and a negative relationship with holding anti-vaccination sentiments while (b) information from social media and community/religious leaders had the opposite effect. Overall, this study highlights the importance of public health systems in the dissemination of information on vaccinations during pandemics.

Refueling a Quiet Fire: Old Truthers and New Discontent in the Wake of COVID-19

This article investigates the factors that contributed to the proliferation of online COVID skepticism on Twitter across Italian municipalities in 2020. We demonstrate that sociodemographic factors were likely to mitigate the emergence of skepticism, whereas populist political leanings were more likely to foster it. Furthermore, pre-COVID anti-vaccine sentiment, represented by “old truthers” on Twitter, amplified online COVID skepticism in local communities. Additionally, exploiting the spatial variation in restrictive economic policies with severe implications for suspended workers in nonessential economic sectors, we find that COVID skepticism spreads more in municipalities significantly affected by the economic lockdown. Finally, the diffusion of COVID skepticism is positively associated with COVID vaccine hesitancy.

Anti-vaccine COVID-19 narratives: A critical textual analysis of American and Indonesian online news

This study utilized Critical Discourse Analysis (CDA), grounded in Van Dijk’s framework to investigate how online news articles from American and Indonesian outlets portrayed anti-vaccine views related to COVID-19. Through systematic online searches, the research examined the data through the lenses of macrostructure, superstructure, and microstructure. Eight articles were selected for this study: four from American sources and four from Indonesian sources. The selected articles were published during specific periods: February 2022 to February 2023 for the U.S., and January 2021 to January 2022 for Indonesia. These articles, ranging from 500 to 1500 words, focused on ‘Anti-Vaccine COVID-19’ topics. The findings revealed distinct thematic differences. The macrostructure analysis showed that American articles highlighted distrust in specific vaccines and opposition to mandates, fostering skepticism, while Indonesian articles examined a wider range of cultural, religious, and personal factors influencing vaccine hesitancy, including anti-vaccine sentiments among expatriates and athletes. The superstructure analysis indicated that American reports emphasized controversy, whereas Indonesian reports explored motivations more deeply. Additionally, linguistic choices in the microstructure influenced portrayals, with American articles using dysphemism and active voice to emphasize danger, while Indonesian articles employed strong language to convey diverse perspectives. Despite its emphasis on textual analysis, this study offered significant insights into the sophisticated discussions of anti-vaccine sentiments in the context of the COVID-19 pandemic, as reflected in American and Indonesian online news.

Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine

Anti-vaccine sentiment during the COVID-19 pandemic grew at an alarming rate, leaving much to understand about the relationship between people’s vaccination status and the information they were exposed to. This study investigated the relationship between vaccine behavior, decision rationales, and information exposure on social media over time. Using a cohort study that consisted of a nationally representative survey of American adults, three subpopulations (early adopters, late adopters, and nonadopters) were analyzed through a combination of statistical analysis, network analysis, and semi-supervised topic modeling. The main reasons Americans reported choosing to get vaccinated were safety and health. However, work requirements and travel were more important for late adopters than early adopters (95% CI on OR of [0.121, 0.453]). While late adopters’ and nonadopters’ primary reason for not getting vaccinated was it being too early, late adopters also mentioned safety issues more often and nonadopters mentioned government distrust (95% CI on OR of [0.125, 0.763]). Among those who shared Twitter/X accounts, early adopters and nonadopters followed a larger fraction of highly partisan political accounts compared to late adopters, and late adopters were exposed to more neutral and pro-vaccine messaging than nonadopters. Together, these findings suggest that the decision-making process and the information environments of these subpopulations have notable differences, and any online vaccination campaigns need to consider these differences when attempting to provide accurate vaccine information to all three subpopulations.

Childhood vaccination among Polish immigrants in Norway: a qualitative study

BackgroundConfidence in childhood vaccination is high in Norway and the Norwegian Childhood Immunization Programme (NCIP) achieves high overall coverage rates. However, lower coverage has been observed for some immigrant groups, including Polish immigrants who represent the largest immigrant group in Norway. Anti-vaccine sentiments and increased refusal of mandatory childhood vaccination has been on the rise in Poland, but it is unknown whether such attitudes also apply to Polish immigrants in Norway, as they experience a different vaccination policy and perhaps also different attitudes to vaccines. This qualitative study aims to explore attitudes towards childhood vaccination in Norway among Polish immigrants.MethodsWe interviewed 15 Polish parents living in Norway in 2022. We recruited the participants by purposive sampling and analyzed the interviews by reflexive thematic analysis.ResultsThree themes were identified: views of childhood vaccination, vaccine hesitancy, and differences in childhood vaccination between Poland and Norway. Overall, the participants favored childhood vaccination and viewed most of the vaccines included in the NCIP as safe and reliable. Human papilloma virus, meningococcal and pneumococcal vaccines were declined by some of the parents. Comparisons of childhood vaccination in Poland and Norway was evident in many of the interviews, especially among parents whose children had received vaccines in both countries. The participants were well acquainted with the NCIP, favored voluntary childhood vaccination, and the majority expressed a high level of trust in Norwegian health authorities.ConclusionsPolish immigrants to Norway generally expressed positive views about childhood vaccination. Non-vaccination was related to lack of knowledge and/or unfamiliarity with certain vaccines and not with anti-vaccine sentiments or conspiracy theories. The study highlights how parents’ knowledge, in combination with norms and trends from both birth country and country of residence, influence parents’ decision making about vaccination.

Detection of COVID-19 Anti-Vaccination from Twitter Data Using Deep Learning and Feature Selection Approaches

The COVID-19 pandemic has evolved into a crisis significantly impacting health, the economy, and social life worldwide. During this crisis, anti-vaccination sentiment poses a considerable obstacle to controlling the epidemic and the effectiveness of vaccination campaigns. This study aimed to detect COVID-19 anti-vaccination sentiment from Twitter data using a combination of deep learning and feature selection approaches. The proposed method integrates a deep learning model with feature selection techniques to identify anti-vaccination sentiment by pinpointing important features in text data. Hybrid TF-IDF and N-gram methods were utilized for feature extraction, followed by Chi-square feature selection. The dataset comprises Twitter text data and two labels. The Synthetic Minority Oversampling Technique (SMOTE) was applied to balance the labels. Long Short-Term Memory (LSTM), a deep learning architecture, was employed for the classification process. The experimental results, obtained by leveraging the proposed feature extraction, feature selection, and LSTM methods, achieved the highest accuracy value of 99.23%. These findings demonstrate the proposed methods' success in effectively detecting COVID-19 anti-vaccination sentiment in text data. The study's results can offer valuable insights for developing health policies and public information strategies, presenting a new and powerful tool for detecting anti-vaccine sentiment in planning vaccination campaigns and public health interventions.

Empowering Education: Addressing Vaccination Hesitancy in The Covid-19 Era

The COVID-19 pandemic started in 2019 with the emergence of a new coronavirus and has greatly affected societies worldwide. It has led to an increase in mortality rates, disturbed pre-existing health conditions, disrupted educational systems, and reduced global workforce productivity and production. The scientific community has expedited vaccine development to combat the pandemic. However, the emergence of various vaccines has paradoxically resulted in a decline in public confidence, contributing to anti-vaccine sentiments. This study explores the pivotal role of education in fortifying vaccination rates and seeks to identify effective strategies to address hesitancy and strengthen public health measures. This research uses the two-stage least squares (2SLS) methodology to analyze the “Learning Loss Covid-19” cross-sectional dataset, which the World Bank published on January 4, 2023. The investigation focuses on the relationship between “Vaccination rate (per person)” and “Year of Education” across 41 countries. The empirical findings show that education has a significant impact on vaccination rates. An increase of one year in educational attainment leads to an approximate 14% increase in doses administered per person and a substantial 23% surge in the average dosage across nations. Therefore, education plays a crucial role in fortifying and elevating vaccination rates, demonstrating its significance as a potent tool in global public health endeavours.

Measles outbreak in the adult age group: Clinical, laboratory, and epidemiological features of the 11 patients admitted to the hospital.

The measles virus, also known as the morbillivirus, or MV, is a virus that infects humans. The goal of this research is to assess to adult cases of measles. Eleven patients thought to be confirmed cases of measles were enrolled in the investigation. Following the identification of symptoms of tiredness, fever, and rash in one soldier, the results of 10 more troops from the pertinent military group were assessed. The diagnosis was made based on the presence of serum immunoglobulin M (IgM) and positive polymerase chain reaction (PCR) results. When the control IgM, immunoglobulin G, and PCR findings were evaluated a fortnight after hospitalization, a cluster of 11 incidents was found. It is now necessary to address the issue of the cautious stance towards vaccination or the anti-vaccination sentiment that has grown increasingly popular, particularly in light of the COVID-19 pandemic, for both our nation and the entire world.

Reports of COVID-19 Vaccine Adverse Events in Predominantly Republican vs Democratic States

Antivaccine sentiment is increasingly associated with conservative political positions. Republican-inclined states exhibit lower COVID-19 vaccination rates, but the association between political inclination and reported vaccine adverse events (AEs) is unexplored. To assess whether there is an association between state political inclination and the reporting rates of COVID-19 vaccine AEs. This cross-sectional study used the AE reports after COVID-19 vaccination from the Vaccine Adverse Event Reporting System (VAERS) database from 2020 to 2022, with reports after influenza vaccines from 2019 to 2022 used as a reference. These reports were examined against state-level percentage of Republican votes in the 2020 US presidential election. State-level percentage of Republican votes in the 2020 US presidential election. Rates of any AE among COVID-19 vaccine recipients, rates of any severe AE among vaccine recipients, and the proportion of AEs reported as severe. A total of 620 456 AE reports (mean [SD] age of vaccine recipients, 51.8 [17.6] years; 435 797 reports from women [70.2%]; a vaccine recipient could potentially file more than 1 report, so reports are not necessarily from unique individuals) for COVID-19 vaccination were identified from the VAERS database. Significant associations between state political inclination and state AE reporting were observed for all 3 outcomes: a 10% increase in Republican voting was associated with increased odds of AE reports (odds ratio [OR], 1.05; 95% CI, 1.05-1.05; P < .001), severe AE reports (OR, 1.25; 95% CI, 1.24-1.26; P < .001), and the proportion of AEs reported as severe (OR, 1.21; 95% CI, 1.20-1.22; P < .001). These associations were seen across all age strata in stratified analyses and were more pronounced among older subpopulations. This cross-sectional study found that the more states were inclined to vote Republican, the more likely their vaccine recipients or their clinicians reported COVID-19 vaccine AEs. These results suggest that either the perception of vaccine AEs or the motivation to report them was associated with political inclination.

Unveiling misinformation on YouTube: examining the content of COVID-19 vaccination misinformation videos in Switzerland

Social media platforms like YouTube can exacerbate the challenge of ensuring public adherence to health advisories during crises such as the COVID-19 pandemic, primarily due to the spread of misinformation. This study delves into the propagation of antivaccination sentiment on YouTube in Switzerland, examining how different forms of misinformation contribute to this phenomenon. Through content analysis of 450 German- and French-language YouTube videos, we investigated the prevalence and characteristics of completely and partially false information regarding COVID-19 vaccination within the Swiss context. Our findings show that completely false videos were more prevalent, often embedded with conspiracy theories and skepticism toward authorities. Notably, over one-third of the videos featured partially false information that masquerades as scientifically substantiated, associated with higher view counts and greater user engagement. Videos reaching the widest audiences were marked by strategies of commercialization and emotionalization. The study highlights the insidious nature of partially false information in Switzerland and its potential for greater impact due to its seemingly credible presentation. These findings underscore the need for a multifaceted response to misinformation, including enhancing digital literacy among the public, promoting accurate content creation, and fostering collaborations between health authorities and social media platforms to ensure that evidence-based information is prominently featured and accessible. Addressing the subtleties of misinformation is critical for fostering informed public behavior and decision-making during health emergencies.

The shifting impact and response to COVID-19 in Florida.

The first cases of COVID-19 in Florida were diagnosed on March 1, 2020. Three years later, more than 7.3 million people have had COVID-19 in Florida, and more than 93,000 individuals have died from this illness. When considering the impact of COVID-19 on Florida, several key factors need to be considered, including that Florida was one of the most medically vulnerable states due to a substantial proportion of older individuals and those with underlying medical conditions. Florida also has a centralized Department of Health and Division of Emergency Management structure that facilitated response activities. Looking at the impact of COVID-19 on Florida, two distinct phases need to be considered: the pre-Delta variant phase from March 2020 to July 2021 and the Delta variant and beyond phase that began July 2021 and still continues. During the 16-month first phase, about 38,000 people died. Yet, 24,000 people died during the 5-months of the Delta variant wave from July to November 2021. During the Omicron waves that followed Delta, an additional 31,000 people died. Florida thus went from ranking 26th in death per capita in the United States at the end of the first phase to 10th a few months into the Delta wave and now ranks 8th. Why did these phases differ so dramatically in terms of mortality? During the first phase of the pandemic, adherence to established nonpharmacological and older adult protection measures was recommended. When COVID-19 vaccines became available in December 2020, there was an aggressive campaign to promote COVID-19 vaccination, and public acceptance was high. The second phase followed political opposition to CDC and public health expert guidelines, the rise of anti-vaccine sentiment and misinformation, and falling vaccination rates. These factors contributed to considerable population vulnerability to severe disease when the Delta variant hit. As the former State Surgeon General and Secretary of Health of Florida from June 2019 to September 2021, this report provides perspective on the shifting impact and response to COVID-19 in Florida, which is the third most populous state in the United States. This perspective shows the clear consequences of shifting from standard public health practices and vaccine promotion to attacks on public health and vaccines.

Understanding the role of risk preferences and perceptions in vaccination decisions and post-vaccination behaviors among U.S. households

COVID-19 vaccines play a critical role in protecting against infection and transmission of the virus. Therefore, understanding public perceptions of COVID-19 vaccines is essential for successful vaccine promotion. Previous literature reported strong associations between vaccination decisions and several sociodemographic variables. However, knowledge about how behavioral factors, including risk perceptions and preferences, impact individuals’ attitudes towards receiving COVID-19 vaccination is currently lacking. Using data from a nationally representative survey of 1050 US adults, this study investigates the correlation between individuals’ decisions to receive COVID-19 vaccination and both their risk perceptions and preferences. Additionally, we investigate post-vaccination behavior by measuring individuals’ participation in three different groups of activities that vary by their degree of social exposure. We find strong correlations between vaccination decisions and four measures of risk preference and risk perception. We also find associations between the four risk measures and individuals’ behaviors post-vaccination. We shed light on the main factors discouraging the uptake of COVID-19 vaccines, as well as public opinions regarding the performance of different organizations in addressing the COVID-19 pandemic, and grocery store policies to prevent COVID-19 infections. Our study provides critical information that can help policymakers communicate more effectively with the public and promote vaccine uptake among population groups and geographic areas with higher anti-vaccine sentiments.

The Blogosphere of Ukraine: Content Analysis of the Anti-Vaccine Campaign During the COVID-19 Pandemic

Introduction. The COVID-19 pandemic has triggered a surge in existing anti-vaccine sentiments in Ukraine, posing a threat to public health. This study aims to analyze the anti-vaccine campaign in the Ukrainian blogosphere, which intensified during the pandemic and coalesced around issues related to the coronavirus. Relevance of the study. The relevance of the study is determined by the increasing popularity of anti-vaccine sentiments in Ukraine, which are facilitated by the growing influence of the blogosphere as a powerful channel for disseminating destructive content. The study aims to identify the key categories that bloggers appealed to while conducting the campaign against vaccination for coronavirus disease in Ukraine during the COVID-19 pandemic. Methodology. To determine the most influential representatives of the anti-vaccine movement in Ukraine, a media monitoring was conducted focusing on the exposure of fakes and misinformation regarding COVID-19. A list of the channels of the most popular Ukrainian bloggers who are corona-skeptics and opponents of vaccination was compiled. Subsequently, 232 videos published on these bloggers’ channels were studied. The content analysis method was applied to identify the key messages and calls used by vaccination opponents. Results. The most popular representatives of the anti-vaccine movement in Ukraine were found to be lawyers, pseudo-experts, citizen journalists, and proponents of conspiracy theories. The media activity of anti-vaccination bloggers was recorded throughout the entire pandemic of the coronavirus disease in Ukraine and for some time after its end. The chronology and reasons for the main surges in their activity and audience interest are revealed. The study identified the most common categories appealed to by bloggers in the anti-vaccination campaign, as well as their calls to action and objects of their criticism. Conclusions. The study demonstrates that Ukrainian vaccination opponents politicize vaccination issues, actively using conspiratorial rhetoric. The key categories of coronaskeptics bloggers’ messages include violations of rights (both fundamental rights and rights to work, choice, etc.), safety (of vaccines or the disease itself), conspiracy theories and moral. The most popular appeal of vaccination opponents is to “think critically” and not comply with requirements related to vaccination or quarantine restrictions. The main objects of criticism are authorities, various institutions, and the media. Further investigation into the discursive strategies of anti-vaccine campaigns will contribute to the formation of an effective counter-narrative.

Lowering the Age of Consent for Vaccination to Promote Pediatric Vaccination: It's Worth a Shot.

This paper challenges historically preconceived notions surrounding a minor's ability to make medical decisions, arguing that federal health law should be reformed to allow minors with capacity as young as age 12 to consent to their own Centers for Diseases Control and Prevention (CDC)-approved COVID-19 vaccinations. This proposal aligns with and expands upon current exceptions to limitations on adolescent decision-making. This analysis reviews the historic and current anti-vaccination sentiment, examines legal precedence and rationale, outlines supporting ethical arguments regarding adolescent decision-making, and offers rebuttals to anticipated ethical counterarguments.

Exploring social media influences on vaccine decision-making in parents: a netnography.

Immunization is one of the most significant health initiatives of recent times. Despite this, vaccine hesitancy is increasing and was listed as one of the top 10 threats to global health by the World Health Organization in 2019. A major factor associated with vaccine hesitancy is thought to be the viral spread of misinformation by a small but active anti-vaccination movement. The purpose of this study was to explore the influences of social media on vaccine decision-making in parents. This study is part of a larger body of research that explored vaccine decision-making in parents. Other methods included were an online survey and semi-structured interviews. This study investigated the influence of cyberculture on parents in an online environment. This study employed netnography, a form of qualitative inquiry with its roots in ethnography as methodology and a purpose-designed Facebook page as the means of exploring a purpose-designed online community with a particular focus on the culture, belief systems and influences present. Both manual and computer-assisted thematic analyses were used to analyse the data obtained. Three key themes were identified in this study. These included vaccine safety concerns, the emotional debate and COVID-19-specific issues. The results indicated the presence of strong anti-vaccination sentiment combined with an 'infodemic' of conspiracy theories, misinformation and vitriol with the potential to negatively impact parents seeking immunization information. Given the popularity and accessibility of social media and the ready access to misinformation present online, it is evident that parental vaccine decision-making may be impacted adversely. Therefore, it is important that healthcare professionals are aware of this and provide adequate and timely education prior to parents seeking information on social media.

Attitude toward vaccination against COVID-19 and acceptance of the national "QazVac" vaccine in the Aktobe city population, West Kazakhstan: A cross-sectional survey.

The scale of emergency caused by COVID-19, the ease of survey, and the crowdsourcing deployment guaranteed by the latest technology have allowed unprecedented access to data describing behavioral changes induced by the pandemic. The study aimed to present the survey results identifying attitudes toward vaccination against COVID-19 among the population of West Kazakhstan, the level of confidence in the national QazVac vaccine, and the role of different sources of information on COVID-19 in decision-making concerning vaccination. A computer-assisted survey was conducted using WhatsApp messenger. Overall, 2,009 participants responded, with a response rate of 92%. Most (83.1%) were immunized against COVID-19; among them, 20.1% obeyed the request of their employers that had been practiced within non-pharmaceutical interventions to contain the disease. The youngest respondents, individuals with a college education, students, and employed people, as well as those with chronic diseases, showed positive attitudes toward vaccination (all p<0.05). About two-thirds of respondents (69.2%) expressed trust in all types of vaccines against COVID-19. Of those who refused vaccination (16.9%), about one-third feared vaccination consequences, and more than a third (38.2%) reported anti-vaccine sentiments. The decisive factors in accepting vaccination were trust in official sources of information (reports of medical experts, etc.) and, mainly, subjectively interpreted sufficiency of information about the disease, which had increased the odds of being vaccinated by 63.9% (OR 1.71, 95% CI [1.3;2.26], p<0.05). Confidence in the domestic QazVac vaccine was expressed by 37.7% of respondents. History and severity of COVID-19 disease did not play a role in positive perceptions of vaccination, while illness after vaccination substantially affected vaccination approval (p 0.021). No significant differences have been observed regarding the overall performance across five vaccines (QazVac, Sputnik V, CoronaVac, Hayat-Vax, and BioNTech/Pfizer) available for Kazakhstan's population (p 0.27).

Vaccine hesitancy among nursing and midwifery undergraduate students in Switzerland: protocol for an online national study.

Vaccine hesitancy is a persistent challenge in public health, exacerbated by the proliferation of anti-vaccine sentiments facilitated by social networks. The COVID-19 pandemic has underscored the importance of addressing vaccine hesitancy, designated by the WHO as a top global health threat. This study explores vaccine hesitancy among nursing and midwifery undergraduate students in Switzerland-a cohort crucial to public health given their future roles as healthcare professionals-with a particular emphasis on the HPV vaccine, which exhibits lower confidence levels compared to other vaccines. This study will employ an online questionnaire distributed to nursing and midwifery undergraduate students from various healthcare universities. The questionnaire will collect data on vaccine hesitancy (general confidence in vaccines and specifically in the HPV vaccine), HPV vaccine coverage, socio-demographics, likelihood to recommend vaccines to patients, perception of vaccination education and interest in complementary medicine. The study's findings will contribute to our understanding of vaccine hesitancy among nursing and midwifery undergraduate students, providing insights that can inform targeted interventions and education strategies to bolster vaccine confidence among future healthcare professionals, thereby enhancing public health efforts.

Association between acceptance of routine pregnancy vaccinations and COVID-19 vaccine uptake in pregnant patients

COVID-19 vaccination is a key approach to reduce morbidity and mortality in pregnant patients and their newborns. Anti-vaccine sentiment has recently increased with unclear impact on pregnant patients. We examined the association between acceptance of tetanus-diphtheria-acellular pertussis (Tdap) and influenza vaccines, considered to be routine pregnancy vaccines, and COVID-19 vaccine acceptance. Secondarily, we identified other predictors of COVID-19 vaccine uptake and described pregnancy outcomes in patients who were and were not vaccinated during pregnancy. A retrospective cohort study of all patients who delivered at a single site from December 2020 - March 2022. Demographic, pregnancy, neonatal, and vaccination data were abstracted from the electronic medical record, which imports vaccine history from the California Immunization Registry. The relationship between influenza and Tdap vaccine acceptance, other baseline characteristics, and COVID-19 vaccine uptake was assessed using univariable and multivariable regression analysis. Of the 7857 patients who delivered during the study period, 4410 (56.1%) accepted the COVID-19 vaccine. Of those who received the COVID-19 vaccine, 3363 (97.6%) and 3049 (88.5%) received influenza and Tdap vaccines, respectively. Patients were more likely to receive the COVID-19 vaccine if they had advanced maternal age, obesity, Asian race, and private insurance. After adjustment for baseline differences, COVID vaccine acceptance was associated with receipt of Tdap (aOR 2.10, 95% CI 1.90-2.33) and influenza vaccines (aOR 2.83, 95% CI 2.55-3.14). There were no differences in preterm birth, low birthweight, and NICU admission between patients who received and did not receive the COVID-19 vaccine. Patients were more likely to accept COVID-19 vaccination if they received Tdap or influenza vaccinations. Older age, obesity, Asian race, and private insurance were independent predictors of vaccine uptake. Disparities in COVID-19 vaccination uptake bear further exploration to guide efforts in equitable and widespread vaccine distribution.

Exploring the determinant of flu vaccine hesitancy among Turkish population: a cross-sectional study

Background: Although influenza is a contagious and widespread viral disease, its impact on public health is controlled by vaccination programs. However, anti-vaccination sentiment is also increasing in society. This study aims to explore the factors influencing influenza vaccine hesitancy. Methods: Between November 2020 and January 2021, a cross-sectional observational survey was carried out in Turkey. To investigate the extent of vaccine hesitancy among individuals, an online questionnaire was created using Google Forms. Data were collected using an exponential non-discriminative snowball sampling technique. Besides internal consistency reliability, chi-square was performed. Statistical significance was defined as p &lt; 0.05. Results: This research encompassed a cohort of 172 respondents, with an average age of 53.5±14.3 years within the total sample. Most participants (126, 73.25%) were above 45. The participant group was predominantly female (93, 54.1%), and most had achieved a high school or university education (117, 66.2%). Out of the participants, 123 individuals (71.5%) reported having a chronic ailment. Among the 172 participants, 118 (68.6%) exhibited no reluctance to receive the influenza vaccine, while 54 (31.4%) expressed vaccine hesitancy. There was a notable statistically significant distinction in the level of knowledge regarding influenza vaccines (p&lt;0.001, χ²= 20.482). Conclusion: Lack of information, perceived harms, lack of trust in pharmaceutical companies, and experiences are among the most important determinants of anti-vaccination. Pharmacists may have a potential role in the leading part of the healthcare team in the fight against anti-vaccination in the community.

Exploring YouTube's Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories.

Throughout the COVID-19 pandemic, there has been a concern that social media may contribute to vaccine hesitancy due to the wide availability of antivaccine content on social media platforms. YouTube has stated its commitment to removing content that contains misinformation on vaccination. Nevertheless, such claims are difficult to audit. There is a need for more empirical research to evaluate the actual prevalence of antivaccine sentiment on the internet. This study examines recommendations made by YouTube's algorithms in order to investigate whether the platform may facilitate the spread of antivaccine sentiment on the internet. We assess the prevalence of antivaccine sentiment in recommended videos and evaluate how real-world users' experiences are different from the personalized recommendations obtained by using synthetic data collection methods, which are often used to study YouTube's recommendation systems. We trace trajectories from a credible seed video posted by the World Health Organization to antivaccine videos, following only video links suggested by YouTube's recommendation system. First, we gamify the process by asking real-world participants to intentionally find an antivaccine video with as few clicks as possible. Having collected crowdsourced trajectory data from respondents from (1) the World Health Organization and United Nations system (nWHO/UN=33) and (2) Amazon Mechanical Turk (nAMT=80), we next compare the recommendations seen by these users to recommended videos that are obtained from (3) the YouTube application programming interface's RelatedToVideoID parameter (nRTV=40) and (4) from clean browsers without any identifying cookies (nCB=40), which serve as reference points. We develop machine learning methods to classify antivaccine content at scale, enabling us to automatically evaluate 27,074 video recommendations made by YouTube. We found no evidence that YouTube promotes antivaccine content; the average share of antivaccine videos remained well below 6% at all steps in users' recommendation trajectories. However, the watch histories of users significantly affect video recommendations, suggesting that data from the application programming interface or from a clean browser do not offer an accurate picture of the recommendations that real users are seeing. Real users saw slightly more provaccine content as they advanced through their recommendation trajectories, whereas synthetic users were drawn toward irrelevant recommendations as they advanced. Rather than antivaccine content, videos recommended by YouTube are likely to contain health-related content that is not specifically related to vaccination. These videos are usually longer and contain more popular content. Our findings suggest that the common perception that YouTube's recommendation system acts as a "rabbit hole" may be inaccurate and that YouTube may instead be following a "blockbuster" strategy that attempts to engage users by promoting other content that has been reliably successful across the platform.