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An unsupervised approach to COVID-19 fake tweet detection
Context: With the ongoing COVID-19 pandemic, social media platforms have become a crucial source of information. However, not all information shared on these platforms is accurate. The dissemination of fake news, intentional or unintentional, can lead to panic among readers and further exacerbate th...
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| Format: | Thesis |
| Language: | Eng |
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Department of Statistical Sciences
2024
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