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Research Article
Fake News Detection using Machine Learning
Anjali Singh1
Deepshikha Singh2
Diksha Singh3
Diksha Sharma4
123B.Tech (pursuing), Department of Computer Science, Institute of Technology and Management (ITM),Gida, Gorakhpur, Uttar Pradesh, 273209, India. 4Associate Professor, CSE Department, Institute of Technology and Management (ITM) Gida, Gorakhpur, Uttar Pradesh, 273209, India.
Published Online: May-June 2022
Pages: 14-18
Cite this article
No DOIReferences
[1] Majed Alrubaian, Muhammad Al-Qurishi, A Credibility Analysis System for Assessing Information on Twitter, IEEE Transactions on Dependable and
Secure Computing, 1-14. DOI : http://dx.doi.org/ 10.1109/TDSC.2016.2602338
[2] Lakshmisri Surya, "HOW GOVERNMENT CAN USE AI AND ML TO IDENTIFY SPREADING INFECTIOUS DISEASES", International Journal of
Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.899-902, March 2018, Available at
:http://www.ijcrt.org/papers/IJCRT1133873.pdf
[3] Manish Gupta, Peixiang Zhao, Jiawei Han, 2012. Evaluating Event Credibility on Twitter, Proceedings of the 2012 SIAM International Conference on
Data Mining, 153-164, DOI: http://epubs.siam.org/doi/abs/10.1137/ 1.9781611972825.14
[4] Krzysztof Lorek, Jacek Suehiro-Wici´nski, Micha l Jankowski-Lorek, Amit Gupta, Automated credibility assessment on twitter, Computer Science, 2015,
Vol.16(2), 157-168, DOI: http://dx.doi.org/10.7494/csci. 2015.16.2.157
[5] Ballouli, Rim El, Wassim El-Hajj, Ahmad Ghandour, Shady Elbassuoni, Hazem M. Hajj and Khaled Bashir Shaban. 2017. “CAT: Credibility Analysis
of Arabic Content on Twitter.” WANLP@EACL (2017).
[6] N. J. Conroy, V. L. Rubin, and Y. Chen, “Automatic deception detection: Methods for finding fake news,” Proceedings of the Association for Information
Science and Technology, vol. 52, no. 1, pp. 1–4, 2015.
[7] S. Feng, R. Banerjee, and Y. Choi, “Syntactic stylometry for deception detection,” in Proceedings of the 50th Annual Meeting of the Association for
Computational Linguistics: Short Papers-Volume 2, Association for Computational Linguistics, 2012, pp. 171–175.
[8] Ravi Teja Yarlagadda, "INTERNET OF THINGS & ARTIFICIAL INTELLIGENCE IN MODERN SOCIETY", International Journal of Creative Research
Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.374-381, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1133934.pdf
[9] Granik, M., & Mesyura, V. 2017. Fake news detection using naive Bayes classifier. 2017 IEEE First Ukraine Conference on Electrical and Computer
Engineering (UKRCON), 900-903.
Secure Computing, 1-14. DOI : http://dx.doi.org/ 10.1109/TDSC.2016.2602338
[2] Lakshmisri Surya, "HOW GOVERNMENT CAN USE AI AND ML TO IDENTIFY SPREADING INFECTIOUS DISEASES", International Journal of
Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.899-902, March 2018, Available at
:http://www.ijcrt.org/papers/IJCRT1133873.pdf
[3] Manish Gupta, Peixiang Zhao, Jiawei Han, 2012. Evaluating Event Credibility on Twitter, Proceedings of the 2012 SIAM International Conference on
Data Mining, 153-164, DOI: http://epubs.siam.org/doi/abs/10.1137/ 1.9781611972825.14
[4] Krzysztof Lorek, Jacek Suehiro-Wici´nski, Micha l Jankowski-Lorek, Amit Gupta, Automated credibility assessment on twitter, Computer Science, 2015,
Vol.16(2), 157-168, DOI: http://dx.doi.org/10.7494/csci. 2015.16.2.157
[5] Ballouli, Rim El, Wassim El-Hajj, Ahmad Ghandour, Shady Elbassuoni, Hazem M. Hajj and Khaled Bashir Shaban. 2017. “CAT: Credibility Analysis
of Arabic Content on Twitter.” WANLP@EACL (2017).
[6] N. J. Conroy, V. L. Rubin, and Y. Chen, “Automatic deception detection: Methods for finding fake news,” Proceedings of the Association for Information
Science and Technology, vol. 52, no. 1, pp. 1–4, 2015.
[7] S. Feng, R. Banerjee, and Y. Choi, “Syntactic stylometry for deception detection,” in Proceedings of the 50th Annual Meeting of the Association for
Computational Linguistics: Short Papers-Volume 2, Association for Computational Linguistics, 2012, pp. 171–175.
[8] Ravi Teja Yarlagadda, "INTERNET OF THINGS & ARTIFICIAL INTELLIGENCE IN MODERN SOCIETY", International Journal of Creative Research
Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.374-381, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1133934.pdf
[9] Granik, M., & Mesyura, V. 2017. Fake news detection using naive Bayes classifier. 2017 IEEE First Ukraine Conference on Electrical and Computer
Engineering (UKRCON), 900-903.
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