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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
Published on: July 1, 2014
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Tracing truth: dynamic temporal networks for multi-modal fake news detection
Jiaen Hu1, Juan Zhang1, Zichen Li1
1College of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China.
Peerj. Computer Science
|September 24, 2025
Summary
This study introduces a dynamic temporal network (DTN) model for fake news detection. The model accurately captures temporal relationships and fuses multi-modal information, improving fake news identification in social networks.
Area of Science:
- Computer Science
- Information Science
- Social Network Analysis
Background:
- The internet and social media have diversified information access, but fake news proliferation poses significant challenges to information integrity.
- Existing fake news detection methods struggle with accurately capturing temporal relationships in dynamic social networks and integrating multi-modal information effectively.
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