CLLGMLFeb 15, 2020

Fake News Detection with Different Models

arXiv:2003.04978v131 citations
AI Analysis

This is an incremental study on fake news detection for general audiences, with no specific problem or impact highlighted.

The paper tackled fake news detection by exploring various machine learning models using TFIDF, CV, and W2V as features for textual data processing, but no concrete results or numbers were reported.

This is a paper for exploring various different models aiming at developing fake news detection models and we had used certain machine learning algorithms and we had used pretrained algorithms such as TFIDF and CV and W2V as features for processing textual data.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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