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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Fake News Detection Using NLP & Web Scraping
Authors
P.BHASKAR, D.Srinivasulu, N.NARASIMHA PRASAD
Keywords
NLP, WEB SCRAPLING
Abstract
Fake news detection has become a significant challenge in today's digital world. The rapid spread of misinformation through social media platforms and various websites has profound consequences, influencing public opinion, shaping political landscapes, and even impacting global events. Traditional fact-checking approaches often struggle with the sheer volume and velocity of online information dissemination. To address this, automated fake news detection systems leveraging technology have emerged as a crucial area of research and development. These systems aim to automatically identify whether a news item is real or fake, offering a potential solution to ensure the trustworthiness of the information we consume, support ethical journalism, and safeguard public trust in news sources.
IJCRT's Publication Details
Unique Identification Number - IJCRT2505292
Paper ID - 285248
Page Number(s) - c570-c575
Pubished in - Volume 13 | Issue 5 | May 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
P.BHASKAR, D.Srinivasulu, N.NARASIMHA PRASAD, "Fake News Detection Using NLP & Web Scraping", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.c570-c575, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505292.pdf
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Volume 14 | Issue 3
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March 2026
Volume 14 | Issue 3
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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