DETECTING FAKE NEWS ANALYSIS USING PYTHON

Abstract It is crucial to offer background information about the issue before examining various approaches to solve it. Therefore, even though the term "fake news" gained popularity in 2016 with the US presidential election, inaccurate content is not a new problem. For instance,

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.14950057
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

DETECTING FAKE NEWS ANALYSIS USING PYTHON

Zenodo (CERN European Organization for Nuclear Research)
Misinformation and Its Impacts
article

DETECTING FAKE NEWS ANALYSIS USING PYTHON

article en

Abstract

Abstract It is crucial to offer background information about the issue before examining various approaches to solve it. Therefore, even though the term "fake news" gained popularity in 2016 with the US presidential election, inaccurate content is not a new problem. For instance,

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
Misinformation and Its Impacts
DOIOpen Access PDFOpenAlex
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DETECTING FAKE NEWS ANALYSIS USING PYTHON · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS