Misinformation and Disinformation Outbreaks and Information Prevalence Studies

Sharing Reliable COVID-19 Information and Countering Misinformation: In-Depth Interviews With Information Advocates

Alexis M Koskan, Shalini Sivanandam, Kristy Roschke, Jonathan Irby, Deborah L Helitzer, Bradley Doebbeling

JMIR Infodemiology 2023 (Oct 20); 3:e47677

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The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

Funmi Adebesin, Hanlie Smuts, Tendani Mawela, George Maramba, Marie Hattingh

JMIR Infodemiology 2023 (Sep 20); 3:e48620

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Psychological Inoculation for Credibility Assessment, Sharing Intention, and Discernment of Misinformation: Systematic Review and Meta-Analysis

Chang Lu, Bo Hu, Qiang Li, Chao Bi, Xing-Da Ju

J Med Internet Res 2023 (Aug 29); 25:e49255

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Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study

Iris Thiele Isip Tan, Jerome Cleofas, Geoffrey Solano, Jeanne Genevive Pillejera, Jasper Kyle Catapang

JMIR Form Res 2023 (Jun 28); 7:e41134

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Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Plinio Pelegrini Morita, Irfhana Zakir Hussain, Jasleen Kaur, Matheus Lotto, Zahid Ahmad Butt

J Med Internet Res 2023 (Jun 09); 25:e44356

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Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute

T Sonia Boender, Paula Helene Schneider, Claudia Houareau, Silvan Wehrli, Tina D Purnat, Atsuyoshi Ishizumi, Elisabeth Wilhelm, Christopher Voegeli, Lothar H Wieler, Christina Leuker

JMIR Infodemiology 2023 (Jun 01); 3:e43646

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Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis

Marco Zenone, Jeremy Snyder, Jean-Christophe Bélisle-Pipon, Timothy Caulfield, May van Schalkwyk, Nason Maani

JMIR Infodemiology 2023 (May 31); 3:e43548

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The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis

Maria Josey, Dina Gaid, Lisa D Bishop, Michael Blackwood, Maisam Najafizada, Jennifer R Donnan

JMIR Infodemiology 2023 (May 02); 3:e43001

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Enhancing Public Health Communication Regarding Vaccine Trials: Design and Development of the Pan-European VACCELERATE Toolkit

Christos D Argyropoulos, Janina Leckler, Jon Salmanton-García, Marinos Constantinou, Alexandra Alexandrou, Sophia Themistocleous, Evgenia Noula, George Shiamakkides, Andria Nearchou, Fiona A Stewart, Kerstin Albus, Markela Koniordou, Ioannis Kopsidas, Orly Spivak, Margot Hellemans, Greet Hendrickx, Ruth Joanna Davis, Anna Maria Azzini, Paula Valle Simon, Antonio Javier Carcas-Sansuan, Helena Hervius Askling, Sirkka Vene, Jana Baranda Prellezo, Elena Álvarez-Barco, Alan J Macken, Romina Di Marzo, Catarina Luís, Ole F Olesen, Jesus A Frias Iniesta, Imre Barta, Krisztina Tóth, Murat Akova, Marc M J Bonten, Miriam Cohen-Kandli, Rebecca Jane Cox, Lenka Součková, Petr Husa, Ligita Jancoriene, Odile Launay, Jens Lundgren, Patrick Mallon, Charis Armeftis, Laura Marques, Pontus Naucler, Jordi Ochando, Evelina Tacconelli, Pierre van Damme, Theoklis Zaoutis, Sanne Hofstraat, Patricia Bruijning-Verhagen, Markus Zeitlinger, Oliver A Cornely, Zoi Dorothea Pana

JMIR Public Health Surveill 2023 (Apr 03); 9:e44491

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The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection

Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Al-Garadi

JMIR Infodemiology 2023 (Mar 14); 3:e43694

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Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science

Sahiti Myneni, Paula Cuccaro, Sarah Montgomery, Vivek Pakanati, Jinni Tang, Tavleen Singh, Olivia Dominguez, Trevor Cohen, Belinda Reininger, Lara S Savas, Maria E Fernandez

JMIR Infodemiology 2023 (Feb 03); 3:e40156

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Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification

Jason Turner, Mehmed Kantardzic, Rachel Vickers-Smith, Andrew G Brown

JMIR Infodemiology 2023 (Jan 23); 3:e38390

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COVID-19–Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages

Anjana E Sharma, Kiran Khosla, Kameswari Potharaju, Arnab Mukherjea, Urmimala Sarkar

JMIR Infodemiology 2023 (Jan 05); 3:e38607

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