# Fake News Detection with Different Models

arXiv: https://arxiv.org/abs/2003.04978 · HTML: https://mlsanity.com/paper/2003.04978/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Feb 2020.

## Built on by (most cited first, 3 of 3)

- [A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications](https://mlsanity.com/paper/2202.02013/) (2022)
- [Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents](https://mlsanity.com/paper/2311.09513/) (2023)
- [Development of Fake News Model using Machine Learning through Natural Language Processing](https://mlsanity.com/paper/2201.07489/) (2022)

## Abstract (arXiv)

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.