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

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

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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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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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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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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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Factors associated with COVID-19 misinformation rebuttal among college students: a descriptive study by Yi Shan, Meng Ji

“…BackgroundThe deluge of COVID-19 misinformation makes people confused, and acting on such misinformation can kill, leading to the tragic outcome of death. …”
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Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review by Jeremy Y. Ng, Shawn Liu, Ishana Maini, Will Pereira, Holger Cramer, David Moher

“…Eligible articles explored COVID-19 misinformation on social media and contained sufficient information on CAIM therapies. …”
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A Stanford Conference on Social Media, Ethics, and COVID-19 Misinformation (INFODEMIC): Qualitative Thematic Analysis by Michael A Gisondi, Daniel Chambers, Tatum Minh La, Alexa Ryan, Adyant Shankar, Athena Xue, Rachel Anne Barber

“…Social media companies are attempting to curb the ongoing spread of an overwhelming amount of COVID-19 misinformation on their platforms. In response to this problem, the authors hosted INFODEMIC: A Stanford Conference on Social Media and COVID-19 Misinformation (INFODEMIC) to develop best practices for social media companies to mitigate online misinformation and disinformation. …”
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COVID-19 misinformation on YouTube: An analysis of its impact and subsequent online information searches for verification by Sabrina Heike Kessler, Edda Humprecht

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COVID-19 Misinformation and Social Network Crowdfunding: Cross-sectional Study of Alternative Treatments and Antivaccine Mandates by Nathan M Shaw, Nizar Hakam, Jason Lui, Behzad Abbasi, Architha Sudhakar, Michael S Leapman, Benjamin N Breyer

“…Moreover, 23 (43%) of the 53 campaigns seeking support for alternative treatments contained COVID-19 misinformation. There were 80 campaigns that opposed mandating masks or vaccination, 48 (60%) of which contained COVID-19 misinformation. …”
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It-which-must-not-be-named: COVID-19 misinformation, tactics to profit from it and to evade content moderation on YouTube by Dayane Fumiyo Tokojima Machado, Dayane Fumiyo Tokojima Machado, Alexandre Fioravante de Siqueira, Alexandre Fioravante de Siqueira, Natiely Rallo Shimizu, Leda Gitahy

“…COVID-19 misinformation became accessible and profitable through social media platforms, such as YouTube. …”
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