Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification
Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification
Jason Turner
1
*
, MS
;
Mehmed Kantardzic
1
*
, PhD
;
Rachel Vickers-Smith
2
*
, MPH, PhD
;
Andrew G Brown
3
*
, PhD
1
Data Mining Lab
,
Department of Computer Science and Engineering
,
J B Speed School of Engineering, University of Louisville
,
Louisville
,
KY
,
US
2
Department of Epidemiology and Environmental Health
,
College of Public Health
,
University of Kentucky
,
Lexington
,
KY
,
US
3
Department of Criminology and Criminal Justice
,
Northern Arizona University
,
Tempe
,
AZ
,
US
*all authors contributed equally
Corresponding Author:
-
Jason Turner
, MS
-
Data Mining Lab
-
Department of Computer Science and Engineering
-
J B Speed School of Engineering, University of Louisville
-
N/A
-
Louisville
, KY
-
US
-
Phone:
1 859-302-0189
-
Email: jason.turner@louisville.edu