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Title: :  Unveiling Misinformation: Detecting Fake News By Classification Methods
PaperId: :  23546
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23546
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
T SundararajuluSiddharth Institute of Engineering & Technology
S Guru Sai PrasadSiddharth Institute of Engineering & Technology
K Sai PranathiSiddharth Institute of Engineering & Technology
N SathwikSiddharth Institute of Engineering & Technology
E Jaswanth Kumar ReddySiddharth Institute of Engineering & Technology
C RohithSiddharth Institute of Engineering & Technology

Abstract

Information Technology
Fake, News, Commercial, Defaming
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and Telegram are significant sources of information distribution, and people believe it without knowing their origin and genuineness. Social media has fascinated people worldwide in spreading fake news due to its easy availability, cost-effectiveness, and ease of information sharing. Fake news can be generated to mislead the community for personal or commercial gains. It can also be used for other personal benefits such as defaming eminent personalities, amendment of government policies, etc. Thus, to mitigate the awful consequences of fake news, several research types have been conducted for its detection with high accuracy to prevent its fatal outcome. Motivated by the aforementioned concerns, present a comprehensive survey of the existing fake news identification techniques in this project. Then, select Machine Learning (ML) models such as Random Forest (RF), and Naive Bayes (NB), Logistic Regression, Support Vector Machine (SVM) and train them to detect fake news articles on the self-aggregated dataset. Later, we implemented these models by hyper tuning various parameters such as smoothing, drop out factor, and batch size, which has shown promising results in accuracy and other evaluation metrics such as F1-score, recall, precision, and Area under the ROC Curve (AUC) score.

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IJARIIE T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. "Unveiling Misinformation: Detecting Fake News By Classification Methods" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5158-5164
MLA T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. "Unveiling Misinformation: Detecting Fake News By Classification Methods." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5158-5164.
APA T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, & C Rohith. (2024). Unveiling Misinformation: Detecting Fake News By Classification Methods. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5158-5164.
Chicago T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. "Unveiling Misinformation: Detecting Fake News By Classification Methods." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5158-5164.
Oxford T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. 'Unveiling Misinformation: Detecting Fake News By Classification Methods', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5158-5164. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Unveiling_Misinformation__Detecting_Fake_News_By_Classification_Methods_ijariie23546.pdf (Accessed : ).
Harvard T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. (2024) 'Unveiling Misinformation: Detecting Fake News By Classification Methods', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5158-5164IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Unveiling_Misinformation__Detecting_Fake_News_By_Classification_Methods_ijariie23546.pdf (Accessed : )
IEEE T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith, "Unveiling Misinformation: Detecting Fake News By Classification Methods," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5158-5164, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Unveiling_Misinformation__Detecting_Fake_News_By_Classification_Methods_ijariie23546.pdf [Accessed : ].
Turabian T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. "Unveiling Misinformation: Detecting Fake News By Classification Methods." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver T Sundararajulu, S Guru Sai Prasad, K Sai Pranathi, N Sathwik, E Jaswanth Kumar Reddy, and C Rohith. Unveiling Misinformation: Detecting Fake News By Classification Methods. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 5158-5164. Available from: https://ijariie.com/AdminUploadPdf/Unveiling_Misinformation__Detecting_Fake_News_By_Classification_Methods_ijariie23546.pdf
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