#Covid-19: An exploratory investigation of hashtag usage on Twitter

Petersen, Kai; Gerken, Jan M.

doi:10.1016/j.healthpol.2021.01.001

Cited by 37 publications

(32 citation statements)

References 11 publications

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“…The functionality allows its users to understand and experience the emotional transitions of the population while delivering dynamic and up-to-date information on public knowledge and understanding and reaction to crises, helping emergency responders to handle the situation more effectively [46]. To explore how news information has been disseminated, Petersen and Gerken [47] examined social media and studied the structure of Twitter networks to see how news stories were shared. Petersen and Gerken [47] found 13 distinct themes associated with COVID-19 hashtag use in 6.9 million tweets.…”

Section: Related Workmentioning

confidence: 99%

Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence

Alghazzawi

Qazi

et al. 2021

Sustainability

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Forecasting disease outbreaks in real-time using time-series data can help for the planning of public health interventions. We used a support vector machine (SVM) model using epidemiological data provided by Johns Hopkins University Centre for Systems Science and Engineering (JHU CCSE), World Health Organization (WHO), and the Centers for Disease Control and Prevention (CDC) to predict upcoming records before the WHO made an official declaration. Our study, conducted on the time series data available from 22 January till 10 March 2020, revealed that COVID-19 was spreading at an alarming rate and progressing towards a pandemic. The initial insight that confirmed COVID-19 cases were increasing was because these received the highest number of effects for our selected dataset from 22 January to 10 March 2020, i.e., 126,344 (64%). The recovered cases were 68289 (34%), and the death rate was around 2%. Moreover, we classified the tweets from 22 January to 15 April 2020 into positive and negative sentiments to identify the emotions (stress or relaxed) posted by Twitter users related to the COVID-19 pandemic. Our analysis identified that tweets mostly conveyed a negative sentiment with a high frequency of words for #coronavirus and #lockdown amid COVID-19. However, these anxiety tweets are an alarm for healthcare authorities to devise plans accordingly.

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Section: Related Workmentioning

confidence: 99%

Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence

Alghazzawi

Qazi

et al. 2021

Sustainability

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“…Governments, social movements and public institutions the world over have been seen to use networks to communicate with society [ 20 ]. The data show, for example, that international public administrations with responsibilities for health have Twitter profiles [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Digital citizens’ feelings in national #Covid 19 campaigns in Spain

Santoveña-Casal¹,

Quintana²,

Ramos³

2021

Heliyon

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Background In 2020 Spain launched an official campaign, #EsteVirusLoParamosUnidos, aimed at uniting the entire country through citizen cooperation, in order to combat Covid-19. The objective of this research has been to analyse how this Twitter campaign revealed the feelings expressed by Spanish citizens. Methods The research is based on a composite design that triangulates, from a theoretical model, a quantitative analysis and a qualitative analysis. Results Of the 7,357 tweets in the sample, 72.32% were found to be retweets. Four content families were extracted which relate to politics, education, messages to society and the defence of occupational groups. The feelings expressed ranged from those of unity, admiration and support to those of discontent and criticism of issues regarding the health situation. Conclusions The development of networked socio-political and technical measures, which enabled citizen participation, facilitated the development of new patterns of interaction between national or regional governments and digital citizens. This increased citizens’ possibilities of influencing the public agenda and, therefore, strengthening citizen engagement regarding specific situations.

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“…Researchers have monitored Twitter posts to extract information about the wellbeing of the people during the pandemic. In the beginning of the pandemic, researchers have used Twitter to classify the most discussed topics (Su et al, 2021 ) and hashtags (e.g., ) (Petersen and Gerken, 2021 ), as well as to assess whether Twitter users supported social distancing (Saleh et al, 2021 )—note that fear was found in 20% of the corresponding posts (Saleh et al, 2021 ). Another study has investigated the sentiment of the Twitter users (Dyer and Kolic, 2020 ), showing that the negative sentiment surged in the beginning of the pandemic.…”

Section: Introductionmentioning

confidence: 99%

Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

et al. 2021

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The COVID-19 pandemic hit hard society, strongly affecting the emotions of the people and wellbeing. It is difficult to measure how the pandemic has affected the sentiment of the people, not to mention how people responded to the dramatic events that took place during the pandemic. This study contributes to this discussion by showing that the negative perception of the people of the COVID-19 pandemic is dropping. By negative perception, we mean the number of negative words the users of Twitter, a social media platform, employ in their online posts. Seen as aggregate, Twitter users are using less and less negative words as the pandemic evolves. The conclusion that the negative perception is dropping comes from a careful analysis we made in the contents of the COVID-19 Twitter chatter dataset, a comprehensive database accounting for more than 1 billion posts generated during the pandemic. We explore why the negativity of the people decreases, making connections with psychological traits such as psychophysical numbing, reappraisal, suppression, and resilience. In particular, we show that the negative perception decreased intensively when the vaccination campaign started in the USA, Canada, and the UK and has remained to decrease steadily since then. This finding led us to conclude that vaccination plays a key role in dropping the negativity of the people, thus promoting their psychological wellbeing.

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#Covid-19: An exploratory investigation of hashtag usage on Twitter

Cited by 37 publications

References 11 publications

Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence

Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence

Digital citizens’ feelings in national #Covid 19 campaigns in Spain

Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

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