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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Fake News Detection Using Artificial Intelligence: A Performance Comparison |
| Authors Name: | URAVAKONDA VASIF , S. BHARATH BHUSHAN |
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IJRTI_202512
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| Published Paper Id: | IJRTI2504197 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Nowadays, spreading fake news is a major problem. It leads to misleading people on various platforms, like newspapers and social media. Ensuring the credibility of news is a great challenge. Traditional cross-checking of facts in the news consumes more time and requires various resources. This research paper helps to ensure the truth and credibility of news by classifying text into fake or real news. The current dataset contains 23,481 items classified as false news and 21,417 articles classified as factual news. A total of seven classifiers, namely, Logistic Regression (LR), Decision Tree (DT), Gradient Boosting (GB), Random Forest (RF), and XGBoost (XGB), along with deep learning models Long-Short Term Memory (LSTM), and a hybrid CNN+LSTM model. Accuracy, precision, F1-score, sensitivity, specificity, and AUROC were considered for evaluation. This approach helps to determine which model performs well on the dataset with high evaluation metrics. XGBoost outperformed the other classifiers with a testing accuracy of 0.9970, a precision of 0.9959, an F1-score of 0.9969, a sensitivity of 0.9978, a specificity of 0.9963, and an AUROC of 0.9971. |
| Keywords: | Fake News Detection, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), XGBoost, Performance Evaluation |
| Cite Article: | "Fake News Detection Using Artificial Intelligence: A Performance Comparison", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b767-b779, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504197.pdf |
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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: IJRTI2504197
Registration ID:202512
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b767-b779 Country: Anantapur, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504197 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504197 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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