TrueNews-AI Powered Detection of Manipulated Text and Images
Abstract
The widespread use of digital media has amplified the challenge of distinguishing between authentic and false information. To tackle this issue, we developed True News, an advanced system designed to verify news authenticity using a combination of Optical Character Recognition (OCR), deep learning models based on BERT, and real-time news validation. Our approach involves extracting text from images via OCR, analyzing the extracted content using a pretrained BERT model, and cross-referencing the information with credible news sources through real-time APIs such as News API and Currents API. By employing a multi-layered verification process, our system effectively detects misinformation in both textual and image-based news.
Keywords:
Machine Learning, Deep Learning, Real-Time News Verification, News API, Misinformation Detection, Content Authenticity.
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Lis Jose, Albin John Wilson, Akshay Sebastian, Alisha Ann Subash, Agnes James, SafeRoute-A Comprehensive Travel Solution , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Layana S Pradeep, Milen Ninan Ittiyeipe, Shahina S, Soumya A S, Ojus Thomas Lee , Gayathri Mohan, A REVIEW OF LOAD ESTIMATION AND DISTRIBUTION STRATEGY FOR RENEWABLE ENERGY SOURCES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Tintu Alphonsa Thomas, Anishamol Abraham, CNN model to classify visually similar Images , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anumol V S, Elna S Bijo, Neha Maria Joji, Siya Varghese, Teena George, AI-Based Medicinal Plant Identification Using Deep Learning for Mobile Applications , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Romal Raju, Sandra Madhu, TS Athulya, Rekha K S, Aparna Unni, Smart Meter using Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Manju Susan Thomas, Juby Mathew, The Integration of Trustworthy AI Values: A Comprehensive Model for Governance, Risk, and Compliance in Audit Architecture Framework context , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Linsa Mathew, Brain Tumor Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Akshaya Babu, Amala Saju, Athulya C A, Mary Niya Sebastian, Nisy John Panicker, PlateGuard: Ensuring Security with YOLOv5 ANPR Technology , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.