Paper Title
Automated Fake News Detection: Approaches, Challenges, and Future Directions
Article Identifiers
Authors
Dr. Pankaj Malik , Madhur Bagdare , Kanika Mishra , Mahima Kabra , Kapil Shukla
Keywords
Fake News, Incorrect News
Abstract
The proliferation of fake news in today's digital age has led to significant challenges in information credibility and trustworthiness. This research paper delves into the realm of automated fake news detection, focusing on novel techniques and methodologies aimed at identifying and mitigating the spread of misinformation. Drawing from natural language processing, machine learning, and deep learning approaches, we present a comprehensive analysis of state-of-the-art methods for fake news detection. Through rigorous experimentation and evaluation, we highlight the strengths and limitations of these techniques, shedding light on their practical applicability and real-world impact. Additionally, we address critical challenges such as data scarcity, evolving adversarial tactics, and ethical considerations, underscoring the importance of responsible and transparent solutions. As a result, this paper contributes to the advancement of automated fake news detection while fostering a deeper understanding of its complexities, paving the way for more reliable and accurate information dissemination in the digital age.
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How To Cite (APA)
Dr. Pankaj Malik, Madhur Bagdare, Kanika Mishra, Mahima Kabra, & Kapil Shukla (September-2023). Automated Fake News Detection: Approaches, Challenges, and Future Directions. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b801-b812. https://ijnrd.org/papers/IJNRD2309192.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : b801-b812
Other Publication Details
Paper Reg. ID: IJNRD_205468
Published Paper Id: IJNRD2309192
Downloads: 000121987
Research Area: Computer EngineeringÂ
Country: Indore, Madhaya Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309192.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309192
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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