NewsTrust: AI-Driven News Verification with Social Publishing Features
Abstract & Details
Research Area
Artificial Intelligence
Keywords
artificial intelligence
Machine Translation
Natural Language Processing
Semantic Similarity
Abstract
The proliferation of fake news poses a critical threat to democratic institutions, journalistic integrity, and public perception.
This research presents NewsTrust, an innovative web-based platform designed to counter misinformation through automated
news verification. Developed using the Django framework, the system leverages advanced Natural Language Processing (NLP)
techniques in a two-tiered validation process. It combines real-time verification using live news APIs with semantic similarity
analysis against a large-scale vector database of pre-embedded news articles. Based on computed similarity thresholds, the
system autonomously approves, flags, or rejects user-submitted content. Additionally, NewsTrust facilitates user interaction,
content creation, and engagement within a secure and trustworthy digital ecosystem.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Raj Mehta | Poornima Institute of Engineering and Technology |
| 2 | Akshita Sharma | Poornima Institute of Engineering and Technology |
| 3 | Diksha Kumawat | Poornima Institute of Engineering and Technology |
| 4 | Punit Kumar | Poornima Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mehta, Raj, Sharma, Akshita, Kumawat, Diksha, & Kumar, Punit (2025). NewsTrust: AI-Driven News Verification with Social Publishing Features. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 2263-2269.
MLA Style
Mehta, Raj, et al. "NewsTrust: AI-Driven News Verification with Social Publishing Features." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 2263-2269.
IEEE Style
Raj Mehta, Akshita Sharma, Diksha Kumawat, and Punit Kumar, "NewsTrust: AI-Driven News Verification with Social Publishing Features," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 2263-2269, 2025.
Vancouver Style
Mehta Raj, Sharma Akshita, Kumawat Diksha, Kumar Punit. NewsTrust: AI-Driven News Verification with Social Publishing Features. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):2263-2269.
Harvard Style
Mehta, Raj, Sharma, Akshita, Kumawat, Diksha, & Kumar, Punit (2025) 'NewsTrust: AI-Driven News Verification with Social Publishing Features', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 2263-2269.
Chicago Style
Mehta, Raj, et al. "NewsTrust: AI-Driven News Verification with Social Publishing Features." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2263-2269.
Turabian Style
Mehta, Raj, et al. "NewsTrust: AI-Driven News Verification with Social Publishing Features." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2263-2269.
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