{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["2(2)"],"submitter":["Kolluri N"],"pubmed_abstract":["<h4>Background</h4>The volume of COVID-19-related misinformation has long exceeded the resources available to fact checkers to effectively mitigate its ill effects. Automated and web-based approaches can provide effective deterrents to online misinformation. Machine learning-based methods have achieved robust performance on text classification tasks, including potentially low-quality-news credibility assessment. Despite the progress of initial, rapid interventions, the enormity of COVID-19-related misinformation continues to overwhelm fact checkers. Therefore, improvement in automated and machine-learned methods for an infodemic response is urgently needed.<h4>Objective</h4>The aim of this study was to achieve improvement in automated and machine-learned methods for an infodemic response.<"],"journal":["JMIR infodemiology"],"pagination":["e38756"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9987189"],"repository":["biostudies-literature"],"pubmed_title":["COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic."],"pmcid":["PMC9987189"],"pubmed_authors":["Murthy D","Liu Y","Kolluri N"],"additional_accession":[]},"is_claimable":false,"name":"COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic.","description":"<h4>Background</h4>The volume of COVID-19-related misinformation has long exceeded the resources available to fact checkers to effectively mitigate its ill effects. Automated and web-based approaches can provide effective deterrents to online misinformation. Machine learning-based methods have achieved robust performance on text classification tasks, including potentially low-quality-news credibility assessment. Despite the progress of initial, rapid interventions, the enormity of COVID-19-related misinformation continues to overwhelm fact checkers. Therefore, improvement in automated and machine-learned methods for an infodemic response is urgently needed.<h4>Objective</h4>The aim of this study was to achieve improvement in automated and machine-learned methods for an infodemic response.<","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jul-Dec","modification":"2026-03-17T15:58:58.016Z","creation":"2025-04-04T21:08:32.763Z"},"accession":"S-EPMC9987189","cross_references":{"pubmed":["37113446"],"doi":["10.2196/38756"]}}