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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23478
Article Published : 9055
Total Authors : 24029
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| Paper Title: | VeriNews AI: Explainable Fake News Detection and Verification System |
| Authors Name: | Barsha Singh , Smita Kumari , Ritika Kumari , Ajeet Kumar Gupta |
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IJRTI_210971
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| Published Paper Id: | IJRTI2603205 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | The spread of news is happening really fast because of digital media. This is making it very hard for people to figure out what is true and what is not. To deal with this problem we made something called VeriNews AI. It is a system that uses computers to find news. It looks at news stories. Decides if they are real or not. The system takes news stories. Changes them into numbers so it can understand them better. It does this by using methods to get the important words from the stories. Then it uses algorithms like Logistic Regression and Naive Bayes to decide if the news is real or fake. Logistic Regression is really good at this because it is very accurate. We also made a website with Flask where people can go to check if a news story is real or not. The website tells you if the news is real or fake and how sure it is about its answer. The system also explains why it made its decision, which helps people trust it more. We tested VeriNews AI to see how well it works. It did a great job. It is a tool for helping people find out what is true and what is not. VeriNews AI is like a helper that makes sure people are not fooled by news, on the internet. |
| Keywords: | misinformation detection, fake news detection, image representation |
| Cite Article: | "VeriNews AI: Explainable Fake News Detection and Verification System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.c28-c36, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603205.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603205
Registration ID:210971
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: c28-c36 Country: Darbhanga, Bihar, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603205 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603205 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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