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International Journal for Research Trends and Innovation
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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
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19696
Article Published : 8087
Total Authors : 21392
Total Reviewer : 770
Total Countries : 147
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| Paper Title: | Fake News Detection using LSTM based deep learning approach |
| Authors Name: | Mr.T.Bala Krishna , Mr.T.Bala Krishna |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_189659
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| Published Paper Id: | IJRTI2404088 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | In today's technology-driven world, the spread of false information has become a critical issue. The widespread use of social media platforms and the ease of accessing information online have accelerated the dissemination of inaccurate news. The ability to accurately identify fake news is crucial to mitigate the negative impacts of misinformation, such as public confusion, political polarization, and potential threats to public health and safety. This paper presents a comprehensive review of machine learning (ML) and deep learning (DL) approaches for fake news detection. Our review aims to provide insights and guidance for researchers and practitioners interested in developing effective fake news detection systems using ML and DL techniques. News reporters often need to verify the authenticity of news stories before publishing or reporting them. By utilizing fake news detection models, reporters can filter out fake news and focus on reporting accurate and reliable information, thereby maintaining the integrity of journalism and public trust in the media. |
| Keywords: | Fake news detection, Kaggle, LSTM, ML algorithm, Neural Network, Streamlit. |
| Cite Article: | "Fake News Detection using LSTM based deep learning approach", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.625 - 635, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404088.pdf |
| Downloads: | 000205080 |
| ISSN: |
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: IJRTI2404088
Registration ID:189659
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 625 - 635 Country: Medchal–Malkajgiri, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404088 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404088 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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