The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach

The Global Study of COVID News: Scope, Findings, and Implications of Quantitative Content Analyses of the COVID-19 News Coverage in the First Two Years of the Pandemic

Researchers and practitioners have unanimously acknowledged the impact of legacy media coverage of past pandemics as well as COVID-19 and its importance for health-related risk communication. Therefore, this study provides scholars and health communication practitioners with a deeper understanding of the patterns, main themes, and limitations of media reporting and peer-reviewed research in the early stages of the COVID-19 pandemic in different national media environments. Because the objective is to evaluate patterns, this paper focuses on early quantitative and automated content analyses for theoretical contribution, geographic diversity, methodological rigor, and inclusion of risk and crisis communication theory. It also assesses whether authors deduced implications, for both theory and practice of health-related risk and crisis communication. We conducted a content analysis of 66 studies in peer-reviewed journals from the beginning of the pandemic until April 2022. The findings demonstrate that early quantitative analyses of the news coverage of COVID-19 are often not theory-driven, apply heterogeneous forms of framing analysis, and lack references to risk and crisis communication theory. Consequently, only few implications for health communication practice during pandemics were drawn. However, there is evidence of improvement in geographic scope compared to previous research. The discussion addresses the importance of developing a consistent approach to framing analyses of risk and crisis media coverage and the importance of well-designed cross-cultural research in a global pandemic.

Reports on sexual violence published in an online Chinese newspaper: A new frame research

The leading role of the media is very important in the new media era to build the reporting system and framework of sexual violence crimes, guide people's awareness and public opinion, and improve society's vigilance on sexual crimes. This study took People's Daily Online, a representative online media in China, as a research object to analyse the reporting of sexual crimes over the past 15 years. We conducted relevant searches for specific keywords set in the Python crawler and used IBM SPSS Statistics 19 software to analyse the frequency of relevant content. The results of the research show that, firstly, there have been significant changes in the number of news stories about sexual crimes. Second, the majority of sexual crime news stories are from mainland China. Third, the focus of the news stories and people is relatively concentrated on the perpetrators. Fourth, the People's Daily Online's coverage of sexual crimes focuses on blaming the perpetrators. Fifth, sexual crimes show that the framework is more episodic. This paper examines changes in the coverage of sexual crimes in China and captures how the media cover socially relevant issues, providing important insights for future social health, psychological awareness and diversion, and media policy.

International scientific communication on COVID-19 data: management pitfalls understanding

BACKGROUND

During the pandemic, countries utilized various forms of statistical estimations of coronavirus disease-2019 (COVID-19) impact. Differences between databases make direct comparisons and interpretations of data in different countries a challenge. We evaluated country-specific approaches to COVID-19 data and recommended changes that would improve future international collaborations.

METHODS

We compared the COVID-19 reports presented on official UK (National Health System), Israeli (Department of Health), Latvian (Center for Disease Prevention and Control) and USA (Centers for Disease Control and Prevention) health authorities' websites.

RESULTS

Our analysis demonstrated critical differences in the ways COVID-19 statistics were made available to the general and scientific communities. Specifically, the differences in approaches were found in the presentation of the number of infected cases and tests, and percentage of positive cases, the number of severe cases, the number of vaccinated, and the number and percent of deaths.

CONCLUSION

Findability, Accessibility, Interoperability and Reusability principles could guide the development of essential global standards that provide a basis for communication within and outside of the scientific community.

News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study

BACKGROUND

During the COVID-19 pandemic, web-based media coverage of preventative strategies proliferated substantially. News media was constantly informing people about changes in public health policy and practices such as mask-wearing. Hence, exploring news media content on face mask use is useful to analyze dominant topics and their trends.

OBJECTIVE

The aim of the study was to examine news related to face masks as well as to identify related topics and temporal trends in Australian web-based news media during the early COVID-19 pandemic period.

METHODS

Following data collection from the Google News platform, a trend analysis on the mask-related news titles from Australian news publishers was conducted. Then, a latent Dirichlet allocation topic modeling algorithm was applied along with evaluation matrices (quantitative and qualitative measures). Afterward, topic trends were developed and analyzed in the context of mask use during the pandemic.

RESULTS

A total of 2345 face mask-related eligible news titles were collected from January 25, 2020, to January 25, 2021. Mask-related news showed an increasing trend corresponding to increasing COVID-19 cases in Australia. The best-fitted latent Dirichlet allocation model discovered 8 different topics with a coherence score of 0.66 and a perplexity measure of -11.29. The major topics were T1 (mask-related international affairs), T2 (introducing mask mandate in places such as Melbourne and Sydney), and T4 (antimask sentiment). Topic trends revealed that T2 was the most frequent topic in January 2021 (77 news titles), corresponding to the mandatory mask-wearing policy in Sydney.

CONCLUSIONS

This study demonstrated that Australian news media reflected a wide range of community concerns about face masks, peaking as COVID-19 incidence increased. Harnessing the news media platforms for understanding the media agenda and community concerns may assist in effective health communication during a pandemic response.

Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day

Drawing upon theories of risk and decision making, we present a theoretical framework for how the emotional attributes of social media content influence risk behaviors. We apply our framework to understanding how COVID-19 vaccination Twitter posts influence acceptance of the vaccine in Peru, the country with the highest relative number of COVID-19 excess deaths. By employing computational methods, topic modeling, and vector autoregressive time series analysis, we show that the prominence of expressed emotions about COVID-19 vaccination in social media content is associated with the daily percentage of Peruvian social media survey respondents who are vaccine-accepting over 231 days. Our findings show that net (positive) sentiment and trust emotions expressed in tweets about COVID-19 are positively associated with vaccine acceptance among survey respondents one day after the post occurs. This study demonstrates that the emotional attributes of social media content, besides veracity or informational attributes, may influence vaccine acceptance for better or worse based on its valence.

Framing the virus: The political, economic, biomedical and social understandings of the COVID-19 in Taiwan

The purpose of this paper is to study how people use texts and languages to interpret or make sense of the COVID-19 pandemic. We draw on the theoretical literature of framing perspectives to formulate our arguments that consider the virus a socially constructed reality. We use Taiwan as an empirical case study, using topic modeling analysis of newspaper articles. Our findings show that the language of the COVID-19 coverage combines the four frames of political evaluation, economic impact, biomedical science and social life in varying proportions. These frames are subject to changes in pandemic conditions. Implications for theory and practice are presented.

Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations

High uptake of vaccinations is essential in fighting infectious diseases, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes the ongoing coronavirus disease 2019 (COVID-19) pandemic. Social media play a crucial role in propagating misinformation about vaccination, including through conspiracy theories and can negatively impact trust in vaccination. Users typically engage with multiple social media platforms; however, little is known about the role and content of cross-platform use in spreading vaccination-related information. This study examined the content and dynamics of YouTube videos shared in vaccine-related tweets posted to COVID-19 conversations before the COVID-19 vaccine rollout. We screened approximately 144 million tweets posted to COVID-19 conversations and identified 930,539 unique tweets in English that discussed vaccinations posted between 1 February and 23 June 2020. We then identified links to 2,097 unique YouTube videos that were tweeted. Analysis of the video transcripts using Latent Dirichlet Allocation topic modeling and independent coders indicate the dominance of conspiracy theories. Following the World Health Organization's declaration of the COVID-19 outbreak as a public health emergency of international concern, anti-vaccination frames rapidly transitioned from claiming that vaccines cause autism to pandemic conspiracy theories, often featuring Bill Gates. Content analysis of the 20 most tweeted videos revealed that the majority (n = 15) opposed vaccination and included conspiracy theories. Their spread on Twitter was consistent with spamming and coordinated efforts. These findings show the role of cross-platform sharing of YouTube videos over Twitter as a strategy to propagate primarily anti-vaccination messages. Future policies and interventions should consider how to counteract misinformation spread via such cross-platform activities.

Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster-Based BERT Topic Modeling Approach

BACKGROUND

The COVID-19 pandemic has spotlighted the politicization of public health issues. A public health monitoring tool must be equipped to reveal a public health measure's political context and guide better interventions. In its current form, infoveillance tends to neglect identity and interest-based users, hence being limited in exposing how public health discourse varies by different political groups. Adopting an algorithmic tool to classify users and their short social media texts might remedy that limitation.

OBJECTIVE

We aimed to implement a new computational framework to investigate discourses and temporal changes in topics unique to different user clusters. The framework was developed to contextualize how web-based public health discourse varies by identity and interest-based user clusters. We used masks and mask wearing during the early stage of the COVID-19 pandemic in the English-speaking world as a case study to illustrate the application of the framework.

METHODS

We first clustered Twitter users based on their identities and interests as expressed through Twitter bio pages. Exploratory text network analysis reveals salient political, social, and professional identities of various user clusters. It then uses BERT Topic modeling to identify topics by the user clusters. It reveals how web-based discourse has shifted over time and varied by 4 user clusters: conservative, progressive, general public, and public health professionals.

RESULTS

This study demonstrated the importance of a priori user classification and longitudinal topical trends in understanding the political context of web-based public health discourse. The framework reveals that the political groups and the general public focused on the science of mask wearing and the partisan politics of mask policies. A populist discourse that pits citizens against elites and institutions was identified in some tweets. Politicians (such as Donald Trump) and geopolitical tensions with China were found to drive the discourse. It also shows limited participation of public health professionals compared with other users.

CONCLUSIONS

We conclude by discussing the importance of a priori user classification in analyzing web-based discourse and illustrating the fit of BERT Topic modeling in identifying contextualized topics in short social media texts.

Strategic exploration of the COVID-19 prevention campaign message: based on South Koreans' perception type

Background

Many questions have been raised in the ongoing battle against COVID-19: How does the public perceive the COVID-19 prevention campaign as a member of the community?; What made the perception of the experts and the public on COVID-19 change from ‘simple’ to ‘serious’ epidemic?; What is the risk perception on health?; and what are the effective messages of the government’s campaign about disease prevention? As such, this study aimed to examine the perception of the public about the government’s campaign against COVID-19. Moreover, this study investigated the more effective messaging strategies for the campaign through subjective values, thoughts, and attitudes about the information dissemination, which became the basis for the degree of people’s participation in the disease prevention campaign. 

Method 

In order to investigate the public perception on the campaign messages that are promoted by the government for prevention of COVID-19, this study implemented the Q methodology that studies subjective attributes of humans, unlike existing empirical studies. The Q methodology is an approach that endeavors to discover complex issues in human subjectivity through empirical studies. In order to determine the factors that trigger people’s voluntary and active practices and the motivation for disease prevention, the Q methodology is implemented to examine human subjectivity, thoughts, and attitudes. When it comes to the disease prevention campaigns that require strong civic awareness as members of the society, the rationale that induces people to participate in the campaign voluntarily and actively is based on their subjectivities, such as values, thoughts, and thinking. The voluntary awareness and behavior of the public campaign participants are based on their subjective perception about the given message.

Results

In this study, it was ascertained that there were four different types of perceptions among Koreans on the message of the COVID-19 prevention campaign. The four perceptions are as follows: Type 1 is ‘the social threat caused by people with COVID-19 related symptoms;’ Type 2 is ‘the relational measures through personal hygiene;’ Type 3 is ‘the dependence on the social system due to the disease;’ and Type 4 is ‘the avoidance of the symptoms caused by human contact.’

Conclusion

As a result of this study, it was possible to draw a correlation between people’s perception of the campaign message for COVID-19 prevention and campaign messages. The response method of the campaign message must be differentiated according to the type of people’s perception of the disease prevention campaign, and the message development required by stages. The different characteristics of each type are clearly explained by keywords: symptomatic person for Type 1, personal hygiene for Type 2, social system for Type 3, and etiquette for Type 4. Type 1 perceived the messages about symptomatic persons as important to prevent the disease spread in the community whereas Type 2 tried to protect themselves from physical threats by developing proactive prevention through personal hygiene management prior to infection. Type 3 responded actively by relying on social systems, such as medical institutions or management organizations, while Type 4 positively responded to the messages related to etiquette that allowed them to avoid virus infection caused by contact with others.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13671-2.

Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake: Global Comparison of 192 Countries

Background: Many countries show low COVID-19 vaccination rates despite high levels of readiness and delivery of vaccines. The public’s misperceptions, hesitancy, and negative emotions toward vaccines are psychological factors discouraging vaccination. At the individual level, studies have revealed negative perceptual/behavioral outcomes of COVID-19 information exposure via social media where misinformation and vaccine fear flood. Objective: This study extends research context to the global level and investigates social media discourse on the COVID-19 vaccine and its association with vaccination rates of 192 countries in the world. Methods: COVID-19 vaccine tweets were compared by country in terms of (1) the number per million Twitter users, (2) mentions of adverse events—death, side-effects, blood clots, (3) negative sentiment (vs. positive), and (4) fear, sadness, or anger emotions (vs. joy). Artificial intelligence (AI) was adopted to classify sentiment and emotions. Such tweets and covariates (COVID-19 morbidity and mortality rates, GDP, population size and density, literacy rate, democracy index, institutional quality, human development index) were tested as predictors of vaccination rates in countries. Results: Over 21.3 million COVID-19 vaccine tweets posted between November 2020 and August 2021 worldwide were included in our analysis. The global average of COVID-19 vaccine tweets mentioning adverse events was 2% for ‘death’, 1.15% for ‘side-effects’, and 0.80% for ‘blood clots’. Negative sentiment appeared 1.90 times more frequently than positive sentiment. Fear, anger, or sadness appeared 0.70 times less frequently than joy. The mention of ‘side-effects’ and fear/sadness/anger emotions appeared as significant predictors of vaccination rates, along with the human development index. Conclusions: Our findings indicate that global efforts to combat misinformation, address negative emotions, and promote positive languages surrounding COVID-19 vaccination on social media may help increase global vaccination uptakes.

It Takes Two to Tango: How the COVID-19 Vaccination Campaign in Israel Was Framed by the Health Ministry vs. the Television News

Background

The internet has become a major resource in information transfer during COVID-19, and traditional means of communication are digitized and accessible online to the public at large.

Objectives

This study seeks to examine how Israel's two main television news channels (Channel 12 and Channel 13) covered the Covid-19 vaccination campaign, compared to how the Ministry of Health ran the campaign.

Methods

A qualitative study based on triangulation of online content analyses from three different sources: advertising campaigns, social media posts and reports on television news channels. The research sample included 252 reports from the newsrooms of Channel 13 (n = 151) and Channel N12 (n = 101), Israel's two leading news channels, all broadcast between December 1, 2020 and November 30, 2021. The sample also included posts from Israel Ministry of Health Facebook page and advertising campaigns from the Facebook page of the Israel Government Advertising Agency (LAPAM), which constructs advertising campaigns for the MOH (113 items).

Results

The research findings reveal congruence between the way the MOH framed its vaccination campaign and news coverage of the vaccination issue. The vaccination campaign used three primary framing strategies: (1) positive framing (emphasizing the vaccine's advantages and stressing that the vaccine is safe and effective based on cost-benefit calculations and public health perspectives); (2) fear appeal strategy (conveying persuasive messages that seek to arouse fear through threats of impending danger or harm); (3) attribution of responsibility strategy (blaming the unvaccinated and targeting all those who criticized Israel's generic vaccination policy).

Conclusion

As the watchdog of democracy, the news should function as a professional and objective source that criticizes government systems if necessary and strives to uncover the truth throughout the crisis. Public trust, which is so essential during such a crisis, can be achieved only if the news channels provide reports and meaningful journalistic investigations that challenge the system. By doing so, they can help fight conflicts of interest that divert management of the crisis from the professional health field to the political-economic arena.

Vaccine Hesitancy Under the Magnifying Glass: A Systematic Review of the Uses and Misuses of an Increasingly Popular Construct

Resistance to vaccines has hindered attempts to contain and prevent outbreaks of infectious diseases for centuries. More recently, however, the term "vaccine hesitancy" has been used to describe not necessarily outright resistance but also a delay in acceptance or uncertainty regarding vaccines. Given concerns about hesitancy and its impact on vaccine uptake rates, researchers increasingly shifted the focus from resistance to vaccines toward vaccine hesitancy. Acknowledging the urgency to accurately assess the phenomenon, it is critical to understand the state of the literature, focusing on issues of conceptualization and operationalization. To carry out this systematic review, we collected and analyzed all published empirical articles from 2000 to 2021 that explicitly included quantitative self-report measures of vaccine hesitancy (k = 86). Using a mixed-method approach, the review demonstrates and quantifies crucial inconsistencies in the measurement of the construct, lack of clarity in regard to the determination of who should or should not be defined as hesitant, and overreliance on unrepresentative samples. Crucially, our analysis points to a potential systematic bias toward exaggerating the level of hesitancy in the population. Modeling a vaccine hesitancy co-citation network, the analysis also points to the existence of insular academic silos that make it harder to achieve a unified measurement tool. Theoretical and practical implications for academics, practitioners, and policymakers are discussed.

Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy

The COVID-19 pandemic influenced people’s everyday lives because of the health emergency and the resulting socio-economic crisis. People use social media to share experiences and search for information about the disease more than before. This paper aims at analysing the discourse on COVID-19 developed in 2020 by Italian tweeters, creating a digital storytelling of the pandemic. Employing thematic analysis, an approach used in bibliometrics to highlight the conceptual structure of a research domain, different time slices have been described, bringing out the most discussed topics. The graphical mapping of these topics allowed obtaining an easily readable representation of the discourse, paving the way for novel uses of thematic analyses in social sciences.

Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis

BACKGROUND

The onset of the COVID-19 pandemic and the consequent "infodemic" increased concerns about Twitter's role in advancing antivaccination messages, even before a vaccine became available to the public. New computational methods allow for analysis of cross-platform use by tracking links to websites shared over Twitter, which, in turn, can uncover some of the content and dynamics of information sources and agenda-setting processes. Such understanding can advance theory and efforts to reduce misinformation.

OBJECTIVE

Informed by agenda-setting theory, this study aimed to identify the content and temporal patterns of websites shared in vaccine-related tweets posted to COVID-19 conversations on Twitter between February and June 2020.

METHODS

We used triangulation of data analysis methods. Data mining consisted of the screening of around 5 million tweets posted to COVID-19 conversations to identify tweets that related to vaccination and including links to websites shared within these tweets. We further analyzed the content the 20 most-shared external websites using a mixed methods approach.

RESULTS

Of 841,896 vaccination-related tweets identified, 185,994 (22.1%) contained links to specific websites. A wide range of websites were shared, with the 20 most-tweeted websites constituting 14.5% (27,060/185,994) of the shared websites and typically being shared for only 2 to 3 days. Traditional media constituted the majority of these 20 websites, along with other social media and governmental sources. We identified markers of inauthentic propagation for some of these links.

CONCLUSIONS

The topic of vaccination was prevalent in tweets about COVID-19 early in the pandemic. Sharing websites was a common communication strategy, and its "bursty" pattern and inauthentic propagation strategies pose challenges for health promotion efforts. Future studies should consider cross-platform use in dissemination of health information and in counteracting misinformation.

The COVID-19 Pandemic: A Health Crisis Managed or a Panic Response with Disastrous Future Consequences?

In 1 year, COVID-19 spread rapidly worldwide affecting all societies and most age-groups. It has taken not only a toll of human lives (approaching 220 million people infected with 4.55 million reported deaths at time of writing) but also decimated every economy as countries struggle to control infection rates by introducing draconian lockdown and social distancing measures, bringing great suffering well beyond medical effects of the disease. A parallel pandemic has resulted in a deluge of information emanating from both scientific as well as international news media including social media platforms. Fact and fiction, reality, and perception have become entangled; the only realistic solution, both medically as well as politically, is concerted global vaccination (which is currently underway) to reduce further infection by introducing universal immunity. However, public controversy rages due to widespread apprehension regarding necessity, immediate risks, and long-term safety of what is perceived as "fast-tracked" medication. While some concerns may be justified, much is due to misconception and misunderstanding. This review highlights some of the issues concerning the handling of the COVID-19 crisis by governments worldwide, the medical and scientific communities, and the media and how this may have laid the foundations for a far greater medical, social, and economic burden in the coming years. We present comparative data to challenge current conceptions of this disease in the more general context of human health to provide a perspective that seems to have been lost in the general panic. We need more rational approaches to the handling of a disease which is unlikely to disappear from our spectrum of afflictions even after the magnifying glass has been removed.