Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

This paper tackles the problem of detecting incongruities between headlines and body text, where a news headline is irrelevant or even in opposition to the information in its body. Our model, called the graph-based hierarchical dual encoder (GHDE), utilizes a graph neural network to efficiently lear...

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Bibliographic Details
Main Authors: Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, Kyomin Jung
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Graph neural network
headline incongruity
online misinformation
Online Access:https://ieeexplore.ieee.org/document/9363185/

Internet

https://ieeexplore.ieee.org/document/9363185/

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