A Study of the Impact of Evolutionary-Based Feature Selection for Fake News Detection.

SSCI(2020)

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摘要
Fake news is becoming an increasingly invasive problem within our society. As our society becomes more ingrained in technology, news has become more susceptible to technological predation. In this paper, we demonstrate how evolutionary-based feature selection increases fake news detection while dramatically reducing the number of features needed.
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关键词
Fake News,Steady-State Genetic Algorithm,Feature Selection,GEFeS
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