Detecting tweets containing cannabidiol-related covid-19 misinformation using transformer language models and warning letters from food and drug administration: content analysis and identification

HIGHLIGHTS

SUMMARY

Collecting and Annotating Tweets Objectives This study has two primary objectives: to examine misinformation concerning CBD and COVID-19 disseminated by Twitter advertisers and_(2) to propose a framework that helps identify CBD- and COVID-19-related misinformation in tweets more efficiently and can also be easily modified to detect misinformation in advertisements about other substances and conditions. The authors used the statements from these FDA Warning Letters to identify and label the CBD tweets containing COVID-19-related misinformation. Because tweets are relatively short in length, if a tweet contained any misinformation related . . .

 



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