Enhancing News Authenticity Prediction with Machine Learning Approach (Paperback)
Language: English
Published by LAP Lambert Academic Publishing, 2026
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 52.49
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Paperback. The rapid proliferation of misinformation across digital platforms poses a critical threat to public discourse, democratic processes, and societal trust. Manual verification systems cannot keep pace with the volume and velocity of fake news being generated, necessitating the development of automated detection mechanisms. This work presents a lightweight machine learning approach for fake news detection using a PassiveAggressive Classifier combined with TF-IDF vectorization, trained and evaluated on the WELFake benchmark dataset comprising 72,119 news articles sourced from multiple platforms spanning 2016 to 2020. The proposed system achieves 96.19% classification accuracy on 14,424 test articles, with precision and recall scores of 0.96-0.97 for both classes and a balanced F1-score of 0.96, validated using a CalibratedClassifierCV wrapper providing calibrated probability outputs. Beyond classification, the system incorporates LIME-based explainability for word-level prediction reasoning, real-time URL verification with source credibility analysis, clickbait detection, and evidence-backed verdict generation using the Gemini API. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9786630040586
- Title
- Enhancing News Authenticity Prediction with Machine Learning Approach (Paperback)
- Author
- Dr M.M. Mohod
- Publisher
- LAP Lambert Academic Publishing
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 6630040589
- ISBN 13
- 9786630040586
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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