Alliance University, Bengaluru
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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16526Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Babu, Tina | - |
| dc.contributor.author | Nair, Rekha R | - |
| dc.contributor.author | Challa, Adithya | - |
| dc.contributor.author | Srikanth, Rahul | - |
| dc.contributor.author | Aravindan, Sri Sai | - |
| dc.contributor.author | Suhas S | - |
| dc.date.accessioned | 2024-08-29T05:41:24Z | - |
| dc.date.available | 2024-08-29T05:41:24Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | pp. 1-7 | en_US |
| dc.identifier.isbn | 9798350317060 | - |
| dc.identifier.uri | https://doi.org/10.1109/ICCAMS60113.2023.10525971 | - |
| dc.identifier.uri | https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16526 | - |
| dc.description.abstract | The spread of false news threatens news and information sources, especially in Indian politics. We present a machine learning-based strategy to identify false news by vectorizing and tokenizing news headlines using a pre-defined dataset of authentic and fraudulent news items. We want to create a model that can properly identify news stories by textual content, separating propaganda from real news. Our technique is tested on a benchmark dataset of news items. Our suggested technique outperforms various state-of-the-art false news detection algorithms in the literature. Our methodology can prevent false news and safeguard news and information sources in Indian politics. This technique is versatile and successful for identifying and reducing the impact of false news across several topics and languages. © 2023 IEEE. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023 | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.subject | Context Free Grammar | en_US |
| dc.subject | Fake News | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Response Generation | en_US |
| dc.subject | Self-Learning | en_US |
| dc.subject | Stochastic Gradient Decent | en_US |
| dc.title | Fake News Detection Using Machine Learning Algorithms | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Conference Papers | |
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