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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
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| Paper Title: | Factual News Verification |
| Authors Name: | K.Phani Tulasi , Manasa Vaka , Sai Makana , Pokuri Venkata Siva Sai Akhilesh , Visunumolakala Jaswitha Sai Priya |
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IJRTI_201995
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| Published Paper Id: | IJRTI2504040 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | In the digital age, disinformation has become a significant challenge, necessitating the development of effective detection systems. This study presents a Factual News Verification System that classifies news articles as either true or fake using machine learning algorithms. The system is implemented as a web-based platform, allowing users to register, log in, select a news category, and submit news articles for validation. The system applies text preparation methods including cleaning and TF-IDF vectorisation to a dataset that includes both fake and authentic news in order to improve accuracy. A number of machine learning models, such as Multinomial Naïve Bayes, Logistic Regression, Decision Tree Classifier, and Passive-Aggressive Classifier, are trained and assessed. Key performance indicators like accuracy, precision, recall, and F1-score are used to evaluate these models; the ensemble model achieved an overall accuracy of 93.4%. The proposed system provides a reliable and user-friendly platform for real-time news verification, helping to combat misinformation and promote informed decision-making. |
| Keywords: | ML, random forest, TF-IDF, classification, Multinomial Naïve Bayes, Decision Tree, flask, data pre processing. |
| Cite Article: | "Factual News Verification ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a277-a281, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504040.pdf |
| Downloads: | 000467 |
| 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: IJRTI2504040
Registration ID:201995
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a277-a281 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504040 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504040 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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