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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
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Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study
To remove biases from potential bots infiltrating the data set [23], we calculated bot scores using the methodology of Davis et al [24], which estimates a score from 0 (likely human) to 1 (likely bots), and removed the top 10% of users by bot scores as suggested by Ferrara [23].
Our final data set contained 232,000 users with 1.4 million retweet interactions among them. The average degree of the retweet network was 6.15.
JMIRx Med 2021;2(3):e29570
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Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study
J Med Internet Res 2021;23(6):e25579
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