4.6 Article

An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on Twitter

Journal

PUBLIC HEALTH
Volume 200, Issue -, Pages 4-6

Publisher

W B SAUNDERS CO LTD
DOI: 10.1016/j.puhe.2021.08.019

Keywords

AstraZeneca; COVID-19 vaccine; Disinformation

Funding

  1. Polish National Center for Research and Development [GOSPOSTRATEG-II/0007/2020-00]

Ask authors/readers for more resources

This study analyzed the media discourse about the AstraZeneca COVID19 vaccine on Twitter, finding it filled with misinformation and negative coverage, reflecting both organic dissemination by anti-vaxxer activists and systematic distribution by professional sources.
Objectives: The objective of this study was to analyse the media discourse about the AstraZeneca COVID19 vaccine on Twitter. Study design: The study design used in this study is data scraping, media analysis, social network analysis, and botometer. Methods: We collected 221,922 tweets containing '#AstraZeneca' from 1 January 2021 to 22 March 2021. From 50,080 tweets in the English language, we analysed the linked media sources and conducted a network detection study. Results: We found that the most frequently retweeted tweets were full of negative information, and in many cases came from media sources that are well-known for misinformation. Our analysis identified large coordination networks involved in political astroturfing and vaccine diplomacy in South Asia but also vaccine advocacy networks associated with European Commission employees. Conclusions: The results of this study show that Twitter discourse about #AstraZeneca is filled with misinformation and bad press, and may be distributed not only organically by anti-vaxxer activists but also systematically by professional sources. (c) 2021 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Interdisciplinary Applications

Psychology and Wikipedia: Measuring Psychology Journals' Impact by Wikipedia Citations

Natalia Banasik-Jemielniak, Dariusz Jemielniak, Maciej Wilamowski

Summary: This study explores the impact of peer-reviewed psychology journals on Wikipedia articles, ranking the journals and describing the time trajectories of knowledge transfer. The study suggests that the citation rate on Wikipedia can be a good indicator of a work's impact in the field of psychology, alongside traditional citation indexes.

SOCIAL SCIENCE COMPUTER REVIEW (2022)

Article Computer Science, Information Systems

COVID-19 effect on the gender gap in academic publishing

Dariusz Jemielniak, Agnieszka Slawska, Maciej Wilamowski

Summary: The authors aimed to verify the belief that women scholars have been disproportionately affected by the COVID-19 pandemic. By studying articles from various disciplines, they found no significant differences between men and women in publication patterns overall, but did find significant differences in different disciplines. Furthermore, disciplines with a higher proportion of women authors had fewer single-authored articles, and if the first author in a multi-author article was female, there was better gender balance among authors, although still fewer women co-authors.

JOURNAL OF INFORMATION SCIENCE (2022)

Article Computer Science, Information Systems

Fairness in digital sharing legal professional attitudes toward digital piracy and digital commons

Malgorzata Ciesielska, Dariusz Jemielniak

Summary: Contrary to popular belief, law professionals, including lawyers, tend to have a more favorable view of digital sharing and consider digital piracy acceptable in certain circumstances, such as among friends and for noncommercial purposes. The existing law may be outdated and unable to enforce in this aspect. The traditional concept of fixed prices for digital content is diminishing, paving the way for a potential new paradigm of digital commons at the intersection of business, society, and law.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2022)

Article Computer Science, Artificial Intelligence

Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, Jose Emilio Labra Gayo, Eric A. Youngstrom, Mus'ab Banat, Diptanshu Das, Daniel Mietchen

Summary: Information related to the COVID-19 pandemic covers various fields such as biology, bibliographic, geography, genetics, etc. Wikidata, as an open collaborative knowledge base, supports global crowdsourcing and enables large-scale cooperative work and linked open data.

SEMANTIC WEB (2022)

Article Communication

How do transnational public spheres emerge? Comparing news and social media networks during the Madrid climate talks

Timothy Neff, Dariusz Jemielniak

Summary: This study examines two parallel networks during the 2019 United Nations Framework Convention on Climate Change negotiations: one created by news media coverage and the other by Twitter users sharing news content. The findings show that transnational public spheres can emerge from certain intersections of actors, topics, cultural practices, and institutions, but there are still divisions based on language, geography, and other factors.

NEW MEDIA & SOCIETY (2022)

Article Environmental Studies

Involuntary Disclosures and Stakeholder-Initiated Communication on Social Media

Dorota Dobija, Charles H. Cho, Chaoyuan She, Ewelina Zarzycka, Joanna Krasodomska, Dariusz Jemielniak

Summary: This study examines how firms respond to stakeholder-initiated involuntary disclosures and the subsequent reactions from stakeholders. The findings show that companies display different attitudes towards engaging in communication about involuntary disclosures, with some choosing to communicate while others remain almost silent. When companies do engage in communication, it is often one-way, and the likely response strategy is either mortification or dissent. Additionally, stakeholders are more likely to respond when companies deny the information revealed by involuntary disclosure. Overall, the study suggests that involuntary disclosures on social media do not improve communication between stakeholders and companies.

ORGANIZATION & ENVIRONMENT (2022)

Article Psychology, Applied

The chameleon effect, the temporal aspects of mimicry and their impact on service measurement

Wojciech Kulesza, Dariusz Dolinski, Mariola Kosim, Tomasz Grzyb, Pawel Muniak, Dariusz Jemielniak

Summary: This study conducted an experiment in a natural setting to examine the relationship between mimicry, the duration of mimicry behavior, and its impact on service quality. The results showed that mimicry had a significant effect on service quality, with cable TV representatives being perceived more favorably when they mimicked the customers. Importantly, even small portions of mimicry were found to be beneficial, indicating that practitioners do not need to mimic someone for a long time to achieve positive outcomes.

EUROPEAN REVIEW OF APPLIED PSYCHOLOGY-REVUE EUROPEENNE DE PSYCHOLOGIE APPLIQUEE (2022)

Article Engineering, Manufacturing

Twitter is garbage: A Thick Big Data exploration of #zerowaste hashtag on Twitter in relation to packaging and food packaging materials

Grzegorz Ganczewski, Dariusz Jemielniak

Summary: Zero Waste is a relatively new concept that encourages waste reduction through life cycle thinking in product and service design. The popularization of this concept through social media, particularly on Twitter, has sparked global consumer concern about the environmental impacts of packaging waste. In Twitter discussions, packaging and food packaging are the main focus, with plastics receiving negative sentiment while paper, glass, and metal receive more positive sentiment.

PACKAGING TECHNOLOGY AND SCIENCE (2022)

Article Computer Science, Artificial Intelligence

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus'ab Banat, Thomas Shafee, Eric Prud'hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen

Summary: This research article discusses the use of Wikidata for assessing and validating COVID-19 epidemiology data. The study demonstrates the efficiency of their methods in evaluating structured information and compares them to other validation methods.

PEERJ COMPUTER SCIENCE (2022)

Article Psychology, Multidisciplinary

What's hot and what's not in lay psychology: Wikipedia's most-viewed articles

Kasmir Ciechanowski, Natalia Banasik-Jemielniak, Dariusz Jemielniak

Summary: Researchers studied the views of articles about psychology on 10 language editions of Wikipedia, and found that during the COVID-19 pandemic, the interests of people seeking psychological knowledge changed and varied across languages. It was observed that people in most countries looked for new ways to manage stress without external help during the pandemic, likely due to increased stress caused by lockdowns and limited professional assistance. Additionally, there was a significant drop in traffic for academic topics in psychology, which may indicate issues with remote teaching.

CURRENT PSYCHOLOGY (2022)

Article Biochemical Research Methods

Ten quick tips for editing Wikidata

Thomas Shafee, Daniel Mietchen, Tiago Lubiana, Dariusz Jemielniak, Andra Waagmeester

PLOS COMPUTATIONAL BIOLOGY (2023)

Article Communication

The invisible women: uncovering gender bias in AI-generated images of professionals

Anna M. Gorska, Dariusz Jemielniak

Summary: This study examines the gender bias in AI-generated images of professionals in law, medicine, engineering, and scientific research. The findings reveal a significant gender bias, with men being represented in 76% of the images and women in only 8%. This bias persists across all professions and varies between different AI image generators. The study emphasizes the need for more intersectional and inclusive approaches in AI design and research to address and challenge existing biases.

FEMINIST MEDIA STUDIES (2023)

Article Business

Communication aimed at engendering trustworthiness: An analysis of CSR messages on Twitter

Ewelina Zarzycka, Joanna Krasodomska, Dorota Dobija, Wojciech Grabowski, Dariusz Jemielniak

Summary: This research investigates the use of trustworthiness sources in corporate communication on social media and the response of stakeholders to such communication. The findings demonstrate the importance of trust attributes in CSR communication and their impact on stakeholder engagement.

BUSINESS ETHICS THE ENVIRONMENT & RESPONSIBILITY (2023)

Article Health Care Sciences & Services

Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends

Babatunde Okunoye, Shaoyang Ning, Dariusz Jemielniak

Summary: This study found a significant correlation between search interest in HIV and AIDS in South Africa and the actual number of HIV infections and AIDS cases, suggesting that multilateral efforts in combating HIV/AIDS in South Africa may be effective.

JMIR FORMATIVE RESEARCH (2022)

Article Social Sciences, Interdisciplinary

Public involvement in risk governance in the internet era: impact of new rules of building trust and credibility

Agata Stasik, Dariusz Jemielniak

Summary: The article discusses the multidirectional impact of widespread Internet communication on public involvement in risk governance processes. It highlights how online peer-to-peer information can disrupt risk governance by challenging credibility and trust in expert knowledge. However, it also demonstrates that Internet-enabled public involvement can create new opportunities for effective risk governance, especially in cases where state agencies' activities fall short. The article analyzes three critical cases in Poland to show the impact of Internet-enabled groups on risk governance and proposes a framework for harnessing the potential of online public participation while considering uncertainty, scientific consensus, and the credibility and trust of Internet-enabled groups.

JOURNAL OF RISK RESEARCH (2022)

No Data Available