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A Study of Cantonese Covid-19 Fake News Detection on Social Media
Ziwei Wang
, Minzhu Zhao
, Yu Chen
, Yunya Song
,
Liang Lan
*
*
Corresponding author for this work
School of Communication
Department of Journalism
Department of Interactive Media
Department of Communication Studies
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
4
Citations (Scopus)
Overview
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Dive into the research topics of 'A Study of Cantonese Covid-19 Fake News Detection on Social Media'. Together they form a unique fingerprint.
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Keyphrases
Algorithm Learning
25%
COVID-19
100%
COVID-19 Fake News
25%
COVID-19 Outbreak
25%
COVID-19 Related
25%
Deep Learning Algorithm
25%
Deep Learning Methods
25%
Discussion Forum
25%
Fake News
50%
Fake News Dataset
25%
Fake News Detection
100%
Fake News on Social Media
25%
Hong Kong
25%
Journalism
25%
Machine Learning Algorithms
25%
Machine Learning Techniques
25%
Mandarin
25%
News Outlets
25%
Popular
25%
Public Trust
25%
Social Media
100%
Social Media Fake News
25%
Social Platform
25%
Term Frequency-inverse Document Frequency (TF-IDF)
25%
Topic Modeling
25%
Traditional Machine Learning
50%
Trust in News
25%
Computer Science
COVID 19 Epidemic
25%
COVID-19
100%
Deep Learning Method
50%
Fake News Detection
100%
Learning System
25%
Machine Learning
25%
Machine Learning Algorithm
25%
Social Platform
25%
Topic Modeling
25%