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Fake News Detection Using Machine Learning Algorithm Logistic Regression

K. Ramya1 , M. Yamini2 , K. Prajwala3 , M. Jyothirmai4

  1. Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.
  2. Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.
  3. Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.
  4. Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-11 , Page no. 13-16, Nov-2023

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v11i11.1316

Online published on Nov 30, 2023

Copyright © K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai, “Fake News Detection Using Machine Learning Algorithm Logistic Regression,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.11, pp.13-16, 2023.

MLA Style Citation: K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai "Fake News Detection Using Machine Learning Algorithm Logistic Regression." International Journal of Computer Sciences and Engineering 11.11 (2023): 13-16.

APA Style Citation: K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai, (2023). Fake News Detection Using Machine Learning Algorithm Logistic Regression. International Journal of Computer Sciences and Engineering, 11(11), 13-16.

BibTex Style Citation:
@article{Ramya_2023,
author = {K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai},
title = {Fake News Detection Using Machine Learning Algorithm Logistic Regression},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2023},
volume = {11},
Issue = {11},
month = {11},
year = {2023},
issn = {2347-2693},
pages = {13-16},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5637},
doi = {https://doi.org/10.26438/ijcse/v11i11.1316}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i11.1316}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5637
TI - Fake News Detection Using Machine Learning Algorithm Logistic Regression
T2 - International Journal of Computer Sciences and Engineering
AU - K. Ramya, M. Yamini, K. Prajwala, M. Jyothirmai
PY - 2023
DA - 2023/11/30
PB - IJCSE, Indore, INDIA
SP - 13-16
IS - 11
VL - 11
SN - 2347-2693
ER -

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Abstract

Machine learning is field of Artificial Intelligence that focuses on the development of algorithms and statistical methods. Fake news has caused a lot of issues for our society. Many researchers are trying to determine what fake news is. It is challenging to recognize ambiguous fake news, can only be found after determining meaning and recent pertinent facts. For news, everyone uses a variety of online sources. News quickly disseminated among millions of users in a very short period of time to the increase in the use of social media platforms like Facebook, Twitter, etc. We will enable the user to categorize news as either genuine or real. The logistic regression approach will be used to identify false news. Natural Language processing techniques like Term Frequency Inverse Document Frequency (TF-IDF), text processing etc. In our experiment, we`ll demonstrate how our method boosts bogus news` overall performance. We are providing URL search whether the given URL is fake or not.

Key-Words / Index Term

Fake news, Natural Language processing, Logistic Regression, Machine Learning, Term Frequency Inverse Document Frequency, Text Processing

References

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