Detecting COVID-19-Related Fake News Using Feature Extraction

Overview of attention for article published in Frontiers in Public Health, January 2022

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Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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twitter: 2 X users

facebook: 1 Facebook page

Citations

dimensions_citation: 34 Dimensions

Readers on

mendeley: 108 Mendeley

Summary X Facebook Dimensions citations

So far, Altmetric has seen 2 X posts from 2 X users, with an upper bound of 5,283 followers.

@ChartsClimate @JunkScience Health news is another magnet for fake data: https://t.co/VGT3M4ip7Y The COVID pandemic created a flood of fake data: https://t.co/8gViGbOoY2

20 May 2022

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New Research: Detecting COVID-19-Related Fake News Using Feature Extraction: Since its emergence in December 2019, there have been numerous posts and news regarding the COVID-19 pandemic in social media, traditional print, and… https://t.co/cNMEP0cdJA #Pub

05 Jan 2022

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