Matches in SemOpenAlex for { <https://semopenalex.org/work/W3203157355> ?p ?o ?g. }
- W3203157355 abstract "Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on the people living in the society. Researchers are trying their best to mitigate this problem using different approaches based on Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). This survey aims to study different approaches of misinformation detection on COVID-19 in recent literature to help the researchers in this domain. More specifically, we review the different methods used for COVID-19 misinformation detection in their research with an overview of data pre-processing and feature extraction methods to get a better understanding of their work. We also summarize the existing datasets which can be used for further research. Finally, we discuss the limitations of the existing methods and highlight some potential future research directions along this dimension to combat the spreading of misinformation during a pandemic." @default.
- W3203157355 created "2021-10-11" @default.
- W3203157355 creator A5058670321 @default.
- W3203157355 creator A5061151133 @default.
- W3203157355 creator A5070349183 @default.
- W3203157355 creator A5072393463 @default.
- W3203157355 creator A5085181943 @default.
- W3203157355 date "2021-10-02" @default.
- W3203157355 modified "2023-09-27" @default.
- W3203157355 title "A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues" @default.
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