Dual emotion based fake news detection: A deep attention-weight update approach

Problem:

1. most methods used in detecting fake news only consider data-oriented text features

2. ignores dual emotion features (1.publisher emotions and 2.social emotions)

 

Proposal

1. Deep Normalized Attention-based mechanism for enriched extraction of dual emotion features

2. Adaptive Genetic Weight Update-Random Forest (AGWu-RF) for classification

 

Methods

1. Deep Normalized Attention-based mechanism

incorporates BiGRU

* BiGRU = improves feature value by extracting long-range context information to eliminate gradient explosion issues.