GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.
Yi-Ju LuCheng-Te LiPublished in: ACL (2020)
Keyphrases
- social media
- social networks
- social graphs
- user generated content
- social graph
- information diffusion
- dynamic networks
- social networking
- heterogeneous social networks
- graph representation
- graph theory
- edge weights
- detection algorithm
- detection method
- automatic detection
- big data
- complex networks
- user comments
- network analysis
- average degree
- clustering coefficient
- false positives
- random walk
- viral marketing
- news events
- real world events
- social media platforms
- fully connected
- directed edges
- object detection
- network structure
- directed acyclic graph
- detection rate
- community discovery
- connected components
- citation networks
- protein interaction networks
- degree distribution
- small world
- structured data
- social networking sites
- bipartite graph
- graph layout
- directed graph