Papers by Gihwan Kim
Graph-based Fake News Detection using a Summarization Technique (2021.eacl-main)
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| Challenge: | Existing methods to detect fake news using external information and internal information are difficult to identify external information in all documents. |
| Approach: | They propose a graph-based fake news detection method that uses only the document internal information to represent the relationship between all sentences using a diagram and the reflection rate of contextual information among sentences is computed by using an attention mechanism. |
| Outcome: | The proposed method achieves high accuracy, 91.04%, that is 8.85%p better than the previous method. |