Infodemic Management

Effective Infodemic Management: A Substantive Article of the Pandemic Accord

Kazuho Taguchi, Precious Matsoso, Roland Driece, Tovar da Silva Nunes, Ahmed Soliman, Viroj Tangcharoensathien

JMIR Infodemiology 2023 (Sep 20); 3:e51760

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Exploring YouTube’s Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories

Yee Man Margaret Ng, Katherine Hoffmann Pham, Miguel Luengo-Oroz

J Med Internet Res 2023 (Sep 15); 25:e49061

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Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study

Becky K White, Arnault Gombert, Tim Nguyen, Brian Yau, Atsuyoshi Ishizumi, Laura Kirchner, Alicia León, Harry Wilson, Giovanna Jaramillo-Gutierrez, Jesus Cerquides, Marcelo D’Agostino, Cristiana Salvi, Ravi Shankar Sreenath, Kimberly Rambaud, Dalia Samhouri, Sylvie Briand, Tina D Purnat

JMIR Infodemiology 2023 (Aug 21); 3:e47317

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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Andy Edinger, Danny Valdez, Eric Walsh-Buhi, Jennifer S Trueblood, Lorenzo Lorenzo-Luaces, Lauren A Rutter, Johan Bollen

J Med Internet Res 2023 (Jun 06); 25:e43841

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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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Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

Jacopo Lenti, Yelena Mejova, Kyriaki Kalimeri, André Panisson, Daniela Paolotti, Michele Tizzani, Michele Starnini

JMIR Infodemiology 2023 (May 24); 3:e44714

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Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study

Zihe Zheng, Zidian Xie, Maciej Goniewicz, Irfan Rahman, Dongmei Li

JMIR Infodemiology 2023 (Apr 20); 3:e40913

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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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Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

Elisabeth Wilhelm, Isabella Ballalai, Marie-Eve Belanger, Peter Benjamin, Catherine Bertrand-Ferrandis, Supriya Bezbaruah, Sylvie Briand, Ian Brooks, Richard Bruns, Lucie M Bucci, Neville Calleja, Howard Chiou, Abhinav Devaria, Lorena Dini, Hyjel D'Souza, Adam G Dunn, Johannes C Eichstaedt, Silvia M A A Evers, Nina Gobat, Mika Gissler, Ian Christian Gonzales, Anatoliy Gruzd, Sarah Hess, Atsuyoshi Ishizumi, Oommen John, Ashish Joshi, Benjamin Kaluza, Nagwa Khamis, Monika Kosinska, Shibani Kulkarni, Dimitra Lingri, Ramona Ludolph, Tim Mackey, Stefan Mandić-Rajčević, Filippo Menczer, Vijaybabu Mudaliar, Shruti Murthy, Syed Nazakat, Tim Nguyen, Jennifer Nilsen, Elena Pallari, Natalia Pasternak Taschner, Elena Petelos, Mitchell J Prinstein, Jon Roozenbeek, Anton Schneider, Varadharajan Srinivasan, Aleksandar Stevanović, Brigitte Strahwald, Shabbir Syed Abdul, Sandra Varaidzo Machiri, Sander van der Linden, Christopher Voegeli, Claire Wardle, Odette Wegwarth, Becky K White, Estelle Willie, Brian Yau, Tina D Purnat

JMIR Infodemiology 2023 (Feb 20); 3:e44207

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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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COVID-19 Messaging on Social Media for American Indian and Alaska Native Communities: Thematic Analysis of Audience Reach and Web Behavior

Rose Weeks, Sydney White, Anna-Maria Hartner, Shea Littlepage, Jennifer Wolf, Kristin Masten, Lauren Tingey

JMIR Infodemiology 2022 (Nov 25); 2(2):e38441

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Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study

Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya

JMIR Infodemiology 2022 (Oct 04); 2(2):e39504

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Data Exploration and Classification of News Article Reliability: Deep Learning Study

Kevin Zhan, Yutong Li, Rafay Osmani, Xiaoyu Wang, Bo Cao

JMIR Infodemiology 2022 (Sep 22); 2(2):e38839

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The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets

Esther Charbonneau, Sehl Mellouli, Arbi Chouikh, Laurie-Jane Couture, Sophie Desroches

JMIR Infodemiology 2022 (Sep 16); 2(2):e38573

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Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights

Hannah Stevens, Muhammad Ehab Rasul, Yoo Jung Oh

JMIR Infodemiology 2022 (Sep 13); 2(2):e37635

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COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic

Nikhil Kolluri, Yunong Liu, Dhiraj Murthy

JMIR Infodemiology 2022 (Aug 25); 2(2):e38756

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Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana

Anna-Leena Lohiniva, Anastasiya Nurzhynska, Al-hassan Hudi, Bridget Anim, Da Costa Aboagye

JMIR Infodemiology 2022 (Jul 12); 2(2):e37134

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Social Listening to Enhance Access to Appropriate Pandemic Information Among Culturally Diverse Populations: Case Study From Finland

Anna-Leena Lohiniva, Katja Sibenberg, Sara Austero, Natalia Skogberg

JMIR Infodemiology 2022 (Jul 08); 2(2):e38343

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The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

Loni Hagen, Ashley Fox, Heather O'Leary, DeAndre Dyson, Kimberly Walker, Cecile A Lengacher, Raquel Hernandez

JMIR Infodemiology 2022 (Jun 30); 2(1):e34231

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The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model

Vipin Saini, Li-Lin Liang, Yu-Chen Yang, Huong Mai Le, Chun-Ying Wu

JMIR Infodemiology 2022 (Jun 27); 2(1):e37077

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