Tackling the infodemic during a pandemic: A comparative study on algorithms to deal with thematically heterogeneous fake news
Fake news poses a grave threat with devastating consequences in this information-centric age. While advances in data science undeniably hold the key to accurately detecting and curtailing the unfettered spread of fake news, guidance on the selection of algorithms and models that are best suited to a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | International Journal of Information Management Data Insights |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096822000763 |