A Mixed Content Analysis Design in the Study of the Italian Perception of Covid-19 on Twitter

The digital era and the boom of social, user-generated and freely available and usable content on the Net has brought to the fore a classic technique, accused too often of being highly subjective and requiring a large amount of intellectual work. This technique is Content Analysis, which has seen an unprecedented explosion in recent years. In addition to the incessant flow, speed of diffusion and high volume of today’s big data, the attention of social researchers –as well as of anyone interested in drawing information from this enormous proliferation of data –is shifting towards new possibilities. Among these we find that of having a notion of the contents conveyed, of the feelings expressed, of the polarities of big data, but also the chance to extract other information that indirectly speaks of the tastes, opinions, beliefs and transformations behind the behavior of the users of the Net. In fact, secondary data available on the Net, collectable through sophisticated query systems with API or with web scraping software, make it possible to accumulate huge amounts of this dense social data, from which it is possible to try to extract not only trends but real knowledge, in a quantitative as well as in a qualitative manner. This enriches the value of the results that can be produced with Content Analysis and limits, until disappearing, all the critical horizons that have classically left this technique in the shadows, allowing it to find new applicative dignity, validity and reliability (Hamad et al. 2016). Inorder to explain this evidence, the contribution that we will present attempts to prove that the return of Content Analysis techniques is not only due to the change in the scenario and in the data analyzed, but also to the ability of this technique to innovate and evolve, leading to open analytical perspectives beyond contingent changes. This can be demonstrated through the application of digital mixed content analysis to the recent Covid-19 outbreak and its development of the perception of the Italian population on a specific digital social platform, Twitter

The articulation of anti-Asian sentiment in America: frames in BTS’ tweet and press release

Despite the Covid-19 pandemic has been considered being over, yet it remains to leave global traces of reaction including in America. This study aims at investigating Anti-Asian Sentiments in Bangtan Sonyeondan (BTS)’ Tweet and Press Release. Basing upon the curiosity of how the that particular sentiment spread in America and the reaction toward it from the perspective of the Asian. This study applies a qualitative method relying upon the data taken from an officially transcribed texts of short press the release video by Bangtan Sonyeondan (BTS)’ in YouTube as display in the White House website and Bangtan Sonyeondan (BTS)’ tweets posted to support Stop Asian Hate Movement. The analysis employs Huckin's Critical Discourse Analysis theory The results show that sentiment frames emerge in the forms of the violent attacks, discrimination, and the degradation of self-esteem. The existence of such sentiments has encouraged some reactions namely the awareness of Asian identity, the awareness of the rise of hate crimes, and the awareness of of supporting Stop Asian Hate movement. These findings implies that the BTS expressions language can act as an instrument of advocacy, power of negotiation, and expression of ideology. Thus, this study is significant for further studies on text analysis and rhetoric expressions, and cultural studies in general

When Infodemic Meets Epidemic: a Systematic Literature Review

Epidemics and outbreaks present arduous challenges requiring both individual and communal efforts. Social media offer significant amounts of data that can be leveraged for bio-surveillance. They also provide a platform to quickly and efficiently reach a sizeable percentage of the population, hence their potential impact on various aspects of epidemic mitigation. The general objective of this systematic literature review is to provide a methodical overview of the integration of social media in different epidemic-related contexts. Three research questions were conceptualized for this review, resulting in over 10000 publications collected in the first PRISMA stage, 129 of which were selected for inclusion. A thematic method-oriented synthesis was undertaken and identified 5 main themes related to social media enabled epidemic surveillance, misinformation management, and mental health. Findings uncover a need for more robust applications of the lessons learned from epidemic post-mortem documentation. A vast gap exists between retrospective analysis of epidemic management and result integration in prospective studies. Harnessing the full potential of social media in epidemic related tasks requires streamlining the results of epidemic forecasting, public opinion understanding and misinformation propagation, all while keeping abreast of potential mental health implications. Pro-active prevention has thus become vital for epidemic curtailment and containment

Exploring the Political Debate over the COVID-19 Vaccination on Twitter: Emotions and Polarization in the Spanish Public Sphere

In a scenario marked by COVID-19, communication has posed a real challenge for institutions. Since the first case of COVID-19, Spain has faced the enormous challenge of an unprecedented health, economic, and social crisis. The public sphere has put its trust in vaccination as the only chance for the country’s recovery. To determine the role played by political leaders in the debate on vaccination and citizens’ perception of crisis management, this article analyzes the messages posted on Twitter by the four leaders of the parties with the most representation in parliament: Pedro Sánchez (PSOE), Pablo Casado (PP), Santiago Abascal (Vox), and Yolanda Díaz (Podemos). Using a methodology for comparative content analysis on Twitter, a sample was established that began at the start of the vaccination process and inoculation with the first dose, and covered the entire year that followed. The research results, which contrasted with those collected in demographic surveys, reflected an increase in polarization and electoral use of the vaccine, which took precedence over the awareness-raising discourse typical of public campaigns

COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter

Vaccine hesitancy and misinformation on social media has increased concerns about COVID-19 vaccine uptake required to achieve herd immunity and overcome the pandemic. However anti-science and political misinformation and conspiracies have been rampant throughout the pandemic. For COVID-19 vaccines, we investigate misinformation and conspiracy campaigns and their characteristic behaviours. We identify whether coordinated efforts are used to promote misinformation in vaccine related discussions, and find accounts coordinately promoting a `Great Reset' conspiracy group promoting vaccine related misinformation and strong anti-vaccine and anti-social messages such as boycott vaccine passports, no lock-downs and masks. We characterize other misinformation communities from the information diffusion structure, and study the large anti-vaccine misinformation community and smaller anti-vaccine communities, including a far-right anti-vaccine conspiracy group. In comparison with the mainstream and health news, left-leaning group, which are more pro-vaccine, the right-leaning group is influenced more by the anti-vaccine and far-right misinformation/conspiracy communities. The misinformation communities are more vocal either specific to the vaccine discussion or political discussion, and we find other differences in the characteristic behaviours of different communities. Lastly, we investigate misinformation narratives and tactics of information distortion that can increase vaccine hesitancy, using topic modeling and comparison with reported vaccine side-effects (VAERS) finding rarer side-effects are more frequently discussed on social media

Revisão crítica: Uma abordagem aos estudos sobre o uso dos media sociais durante a pandemia Covid-19

Since the coronavirus disease (covid-19) was declared a public health emergency of international concern by the World Health Organization in January 2020, it has led to the loss of millions of human lives and a global economic recession. Recently, there has been a recognized need for effective health communication via social media to deliver accurate information and promote pertinent behavioral change. Thus, this study provides a systematic review to explore what has been done, what conflicts exist, and what knowledge gap remains in terms of social media use during the covid-19 wave, indicating relevant communication strategies. This research is based on 76 relevant papers taken from searches on the Web of Science and Google Scholar. The analysis revealed that much of the literature confirms the positive effect of social media on information propagation and promotion of precautions in the control of covid-19. The spreading of rumors, especially about government performance, in social media is clearly of increasing concern. Currently, heated debate continues about the association between exposure to social media and public mental health. Another fiercely debated question is whether rumors are shared more widely than fact-checking information. Up to date, far too little attention has been paid to information disparities and vulnerable groups on social media.info:eu-repo/semantics/publishedVersio