(Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort

Sharevski, Filipo; Huff, Alice; Jachim, Peter; Pieroni, Emma

doi:10.1016/j.jjimei.2022.100059

Cited by 24 publications

(11 citation statements)

References 26 publications

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“…Das and Kumar, 2013 ; Jang and Hart, 2015 ; Mahmood et al, 2013 ; Procter et at., 2013 ; Rathore et al., 2017 ; Wang et al, 2012 ). For example, Sharevski et al (2022) highlight that Twitter’s soft moderation warning label helps the majority of their 606 participants to dismiss the rumors about mass immunization. Aswani et al (2019) show how to manage misinformation in social media by analyzing about 1.5 million tweets.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Managing misinformation is thus a challenge for policymakers and the platforms (see e.g. Aswani et al, 2019 ; Sharevski et al, 2022 ). Trustful key players would provide useful guidelines and implications for governments and policymakers to manage misinformation propagation and the reliance on social media by key players is likely to provide a fertile source of information about the COVID-19 pandemic (see e.g.…”

Section: Introductionmentioning

confidence: 99%

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Social Networks of COVID-19 in South Korea

Yum

2023

Journal of Asian and African Studies

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This study explores social networks of COVID-19 in South Korea according to a multitude of geographical scales, regions, and topics. This study finds that key players play a different role in social networks according to the national level, regional level, and topic level. For example, politicians play the most important role in communications of COVID-19 in the South Korea networks, whereas no politicians exert a significant impact on the Shincheonji networks. Second, newspaper and politicians exert a strong impact on social networks for COVID 19. Among 40 key players for COVID 19, newspapers have the highest proportion (35%), followed by politicians (25%), broadcasts (17.5%), institutes for government (10%), online platforms (7.5%), and others (5%). Third, key players have different characteristics in the cluster analyses. For example, all politicians except one politician belong to the largest group in the South Korea networks, while the top 10 players in other social networks do not belong to the largest group. The results show that governments and policymakers should analyze social networks based on geographical scales, regions, and topics and understand the characteristics of key players in communication networks.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Social Networks of COVID-19 in South Korea

Yum

2023

Journal of Asian and African Studies

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“…In this opportunity and challenges mix of new normal, information authenticity has become a challenge of its own. As new perceptions and engagements are forms through information overflow regarding COVID-19, it vaccination, and other associated debates (Sharevski et al, 2022).…”

Section: Overview Of Covid-19 Pandemicmentioning

confidence: 99%

The Factors of E-Government Service Quality in Kuwait During the Coronavirus Disease 2019 Pandemic

AlHussainan

AlFayyadh²,

Alsaber

et al. 2022

International Journal of Electronic Government Research

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This study aims to explain factors that have influenced the e-government service quality in Kuwait during the Coronavirus Disease 2019 (COVID-19) pandemic. Data is collected data from 392 users of the e-government services in Kuwait. The analysis has revealed that having a functional e-government portal allows citizens to complete their transactions and depend heavily on using the e-government services. Moreover, trust, ease of use, and citizen's support were also significant in terms of affecting service quality. The findings also show reliability of content and appearance of information as significant factors. COVID-19 had moderating influence on the relationship between reliability, trust, and citizens' support with e-government service quality. These results imply that citizens care about the functionality of the e-government portal and that it allows them to conduct all the transactions and processes that they need. These findings are useful for government officials to understand the most important elements for e-government service quality and thus design services.

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“…The vaccination campaigns planned by national governments could therefore be seriously hampered by misinformation on such outlets [ 6 , 7 ]. Many recent studies [ 8 ] have taken great interest in analyzing different social media platforms to track the sentiment of users about COVID-19 vaccinations across different cities [ 9 ], looking for the main misconceptions and complaints about the COVID-19 control measures [ 10 ] and the confidence in the efficacy of the vaccines [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets

Portelli¹,

Scaboro²,

Tonino³

et al. 2022

J Med Internet Res

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Background In the current phase of the COVID-19 pandemic, we are witnessing the most massive vaccine rollout in human history. Like any other drug, vaccines may cause unexpected side effects, which need to be investigated in a timely manner to minimize harm in the population. If not properly dealt with, side effects may also impact public trust in the vaccination campaigns carried out by national governments. Objective Monitoring social media for the early identification of side effects, and understanding the public opinion on the vaccines are of paramount importance to ensure a successful and harmless rollout. The objective of this study was to create a web portal to monitor the opinion of social media users on COVID-19 vaccines, which can offer a tool for journalists, scientists, and users alike to visualize how the general public is reacting to the vaccination campaign. Methods We developed a tool to analyze the public opinion on COVID-19 vaccines from Twitter, exploiting, among other techniques, a state-of-the-art system for the identification of adverse drug events on social media; natural language processing models for sentiment analysis; statistical tools; and open-source databases to visualize the trending hashtags, news articles, and their factuality. All modules of the system are displayed through an open web portal. Results A set of 650,000 tweets was collected and analyzed in an ongoing process that was initiated in December 2020. The results of the analysis are made public on a web portal (updated daily), together with the processing tools and data. The data provide insights on public opinion about the vaccines and its change over time. For example, users show a high tendency to only share news from reliable sources when discussing COVID-19 vaccines (98% of the shared URLs). The general sentiment of Twitter users toward the vaccines is negative/neutral; however, the system is able to record fluctuations in the attitude toward specific vaccines in correspondence with specific events (eg, news about new outbreaks). The data also show how news coverage had a high impact on the set of discussed topics. To further investigate this point, we performed a more in-depth analysis of the data regarding the AstraZeneca vaccine. We observed how media coverage of blood clot–related side effects suddenly shifted the topic of public discussions regarding both the AstraZeneca and other vaccines. This became particularly evident when visualizing the most frequently discussed symptoms for the vaccines and comparing them month by month. Conclusions We present a tool connected with a web portal to monitor and display some key aspects of the public’s reaction to COVID-19 vaccines. The system also provides an overview of the opinions of the Twittersphere through graphic representations, offering a tool for the extraction of suspected adverse events from tweets with a deep learning model.

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(Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort

Cited by 24 publications

References 26 publications

Social Networks of COVID-19 in South Korea

Social Networks of COVID-19 in South Korea

The Factors of E-Government Service Quality in Kuwait During the Coronavirus Disease 2019 Pandemic

Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets

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