SmartEye: Detecting COVID-19 Misinformation on Twitter for Mitigating Public Health Risk

被引：0
|
作者：
Liu, Jinwei [1 ]
Gong, Rui [2 ]
Zhou, Wci [3 ]
机构：
[1] Florida A&M Univ, Dept Comp & Informat Sci, Tallahassee, FL 32307 USA
[2] Mercer Univ, Dept Math Sci & Informat, Macon, GA 31207 USA
[3] Florida A&M Univ, Coll Agr & Food Sci, Tallahassee, FL 32307 USA
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING, BIGCOMP | 2023年
关键词：
misinformation; COVID-19; pandemic; public health; social media;
D O I：
10.1109/BigComp57234.2023.00071
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The spread of COVID-19 misinformation (e.g., fake news) on social media poses a serious public health risk. It is critical to identify COVID-19 misinformation. In this paper, we propose SmartEye: a novel machine learning based (ML-based) approach for detecting COVID-19 misinformation on Twitter for mitigating public health risk. To test the approach, we conducted experiments based on the data collected from Twitter. Experimental results show the effectiveness of SmartEye.
引用
收藏
页码：330 / 331
页数：2
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