The DEAP-FAKED model detects fake news through a three-step process: (1) learning news content, (2) identifying entities within the news to serve as nodes in a knowledge graph, and (3) applying a GNN-based technique to encode these entities and identify anomalies associated with fake news.

Authors

• Person: Not available Organization: Springer
  Knowledge Graphs: Opportunities and Challenges - Springer Nature

Sources

• Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer via serper

Referenced by nodes (1)

• Knowledge Graph concept