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How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.

ABSTRACT: The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluated using Italian posts regarding COVID-19 from 25 February to 4 May 2020. Considering 4,988,255 tweets, results highlight that emotions changed significantly over time with anger, disgust, fear, and sadness showing a downward trend, while joy, trust, anticipation, and surprise increased. The trend of emotions correlated significantly with national variation in confirmed cases and reports on the violations of restrictive measures. The study highlights the potential of using SM to assess emotional and behavioural reactions, delineating their possible contribution to the establishment of a decision management system during emergencies.

SUBMITTER: Lorenzoni V

PROVIDER: S-EPMC9265594 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.

Lorenzoni Valentina V Andreozzi Gianni G Bazzani Andrea A Casigliani Virginia V Pirri Salvatore S Tavoschi Lara L Turchetti Giuseppe G

International journal of environmental research and public health 20220624 13

The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluated using Italian posts regarding COVID-19 from 25 ...[more]

PMID: 35805444

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Project description:BackgroundThe COVID-19 pandemic is still undergoing complicated developments in Vietnam and around the world. There is a lot of information about the COVID-19 pandemic, especially on the internet where people can create and share information quickly. This can lead to an infodemic, which is a challenge every government might face in the fight against pandemics.ObjectiveThis study aims to understand public attention toward the pandemic (from December 2019 to November 2020) through 7 types of sources: Facebook, Instagram, YouTube, blogs, news sites, forums, and e-commerce sites.MethodsWe collected and analyzed nearly 38 million pieces of text data from the aforementioned sources via SocialHeat, a social listening (infoveillance) platform developed by YouNet Group. We described not only public attention volume trends, discussion sentiments, top sources, top posts that gained the most public attention, and hot keyword frequency but also hot keywords' co-occurrence as visualized by the VOSviewer software tool.ResultsIn this study, we reached four main conclusions. First, based on changing discussion trends regarding the COVID-19 subject, 7 periods were identified based on events that can be aggregated into two pandemic waves in Vietnam. Second, community pages on Facebook were the source of the most engagement from the public. However, the sources with the highest average interaction efficiency per article were government sources. Third, people's attitudes when discussing the pandemic have changed from negative to positive emotions. Fourth, the type of content that attracts the most interactions from people varies from time to time. Besides that, the issue-attention cycle theory occurred not only once but four times during the COVID-19 pandemic in Vietnam.ConclusionsOur study shows that online resources can help the government quickly identify public attention to public health messages during times of crisis. We also determined the hot spots that most interested the public and public attention communication patterns, which can help the government get practical information to make more effective policy reactions to help prevent the spread of the pandemic.

Project description:BackgroundDuring the COVID-19 pandemic, nurses stand in an unknown situation while facing continuous news feeds. Social media is a ubiquitous tool to gain and share reliable knowledge and experiences regarding COVID-19. The article aims to explore how nurses use social media in relation to the COVID-19 pandemic.MethodA scoping review inspired by Arksey and O'Mally was conducted by searches in Medline, CINAHL, Academic Search Complete and Web of Sciences. Empirical research studies investigating nurses' use of social media in relation to COVID-19 were included. Exclusion criteria were: Literature reviews, articles in languages other than English, articles about E-health, and articles investigating healthcare professionals without specification of nurses included. Articles, published in January-November 2020, were included and analysed through a thematic analysis. The PRISMA-ScR checklist was used.ResultsMost of the eleven included studies were cross-sectional surveys, conducted in developing countries, and had neither social media nor nurses as their main focus of interest. Three themes were identified: 'Social media as a knowledge node', 'Social media functioned as profession-promoting channels' and 'Social media as a disciplinary tool'. Nurses used social media as channels to gain and share information about COVID-19, and to support each other by highlighting the need for training and changes in delivery of care and redeployment. Further, social media functioned as profession-promoting channels partly sharing heroic self-representations and acknowledgment of frontline persons in the pandemic, partly by displaying critical working conditions. Finally, nurses used social media to educate people to perform the 'right 'COVID-19' behaviours in society.ConclusionThis review provided snapshots of nurses' uses of social media from various regions in the world, but revealed a need for studies from further countries and continents. The study calls for further multi-methodological and in depth qualitative research, including theoretically framed studies, with a specific focus on the uses of social media among nurses during the pandemic.

Dataset Information

How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.

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How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.

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