COVID-19 Misinformation and the Role of the Information Professional by Edward Borteye, Richard Lamptey, Atiso Kodjo, Esther White

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Types, sources, and claims of COVID-19 misinformation by Brennen, JS, Simon, FM, Howard, PN, Nielsen, RK

“…In this RISJ factsheet we identify some of the main types, sources, and claims of COVID-19 misinformation seen so far. We analyse a sample of 225 pieces of misinformation rated false or misleading by factcheckers and published in English between January and the end of March 2020, drawn from a collection of fact-checks maintained by First Draft News.…”

Machine Learning in Detecting COVID-19 Misinformation on Twitter by Mohammed N. Alenezi, Zainab M. Alqenaei

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Beyond (mis)representation: visuals in COVID-19 misinformation by Brennen, JS, Simon, FM, Nielsen, RK

COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic by Nikhil Kolluri, Yunong Liu, Dhiraj Murthy

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Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis by Ahmed Al-Rawi, Abdelrahman Fakida, Kelly Grounds

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Spreading (Dis)Trust: Covid-19 Misinformation and Government Intervention in Italy by Alessandro Lovari

“…The commentary focuses on the spread of Covid-19 misinformation in Italy, highlighting the dynamics that have impacted on its pandemic communication. …”
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Examining the impact of sharing COVID-19 misinformation online on mental health by Gaurav Verma, Ankur Bhardwaj, Talayeh Aledavood, Munmun De Choudhury, Srijan Kumar

“…The results from this study demonstrate that users who shared COVID-19 misinformation experienced approximately two times additional increase in anxiety when compared to similar users who did not share misinformation. …”
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A Deadly Infodemic: Social Media and the Power of COVID-19 Misinformation by Michael A Gisondi, Rachel Barber, Jemery Samuel Faust, Ali Raja, Matthew C Strehlow, Lauren M Westafer, Michael Gottlieb

“…Vaccine hesitancy and vaccine refusal are fueled by COVID-19 misinformation and disinformation on social media platforms. …”
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Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online by Epstein, Ziv, Berinsky, Adam J, Cole, Rocky, Gully, Andrew, Pennycook, Gordon, Rand, David G

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Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online by Epstein, Ziv, Berinsky, Adam, Cole, Rocky, Gully, Andrew, Pennycook, Gordon, Rand, David Gertler

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A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language by Filbert Mlawa, Elizabeth Mkoba, Neema Mduma

“…The aim of this paper is to present a machine-learning model for detecting COVID-19 misinformation in the Swahili language in tweets. …”
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Social Media News Use and COVID-19 Misinformation Engagement: Survey Study by Saifuddin Ahmed, Muhammad Ehab Rasul

“…ObjectiveThis study offers a conceptual framework for how social media news use influences COVID-19 misinformation engagement. More specifically, we examined how news consumption on social media leads to COVID-19 misinformation sharing by inducing belief in such misinformation. …”
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WHO and digital agencies: how to effectively tackle COVID-19 misinformation online by Andrew B Pattison, Monta Reinfelde, Federico Germani

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Social media news use and COVID-19 misinformation engagement: survey study by Saifuddin Ahmed, Muhammad Ehab Rasul

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Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study by Iris Thiele Isip Tan, Jerome Cleofas, Geoffrey Solano, Jeanne Genevive Pillejera, Jasper Kyle Catapang

“… BackgroundStudying COVID-19 misinformation on Twitter presents methodological challenges. …”
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A Multimodal Ensemble Machine Learning Approach to COVID-19 Misinformation Detection in Twitter by Dar Rayees Ahmad, Hashmy Rana

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Democratizing the Development of Chatbots to Improve Public Health: Feasibility Study of COVID-19 Misinformation by Leigh Powell, Radwa Nour, Randa Sleibi, Hanan Al Suwaidi, Nabil Zary

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From pandemic to plandemic: examining the amplification and attenuation of COVID-19 misinformation on social media by Lee, Edmund Wei Jian, Bao, Huanyu, Wang, Yixi, Lim, Yi Torng

“…This study examines the proliferation of COVID-19 misinformation through Plandemic-a pseudo-documentary of COVID-19 conspiracy theories-on social media and examines how factors such as (a) themes of misinformation, (b) types of misinformation, (c) sources of misinformation, (d) emotions of misinformation, and (e) fact-checking labels amplify or attenuate online misinformation during the early days of the pandemic. …”
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Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses by Yuehua Zhao, Sicheng Zhu, Qiang Wan, Tianyi Li, Chun Zou, Hao Wang, Sanhong Deng

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