Detection of fake identities on twitter using supervised machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografiske detaljer
Main Authors:	Rahman, MD. Takiur, Likhon, Ataul Mim, Rahman, A. S. M Mus qur, Choudhury, Mihadul H.
Andre forfattere:	Arif, Hossain
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2019
Fag:	Data mining Machine learning Fake account Twitter Bots
Online adgang:	http://hdl.handle.net/10361/12271

id	10361-12271
record_format	dspace
spelling	10361-122712022-01-26T10:18:14Z Detection of fake identities on twitter using supervised machine learning Rahman, MD. Takiur Likhon, Ataul Mim Rahman, A. S. M Mus qur Choudhury, Mihadul H. Arif, Hossain Department of Computer Science and Engineering, Brac University Data mining Machine learning Fake account Twitter Bots Data mining Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 27-28) Social media has changed the way people get their news. Once people used to buy newspapers to get their news but now everything is online. It has changed the dimension of how we receive news altogether. With a growing e ect of social media, it brought us the good, bad and ugly as social media is lled with spams and hate speech along with fake news. One of the crucial problems of social media is fake accounts.We planned to get rid of all fake accounts using machine learning speci cally Arti cial Neural Network model. Our purpose was to lter out fake accounts from all the accounts existing on social media. There has been a lot of work on this subject, though no permanent solution could be found. We have collected data from many sources and used around four classi ers to compare and determine which is the best classi er for our paper. We have used numeric attributes from twitter accounts and based on these attributes we were able to nd out fake accounts. We gave more priority to Arti cial Neural Network as we can give di erent weights to di erent attributes and get a more accurate result. Also, we are using K-Nearest Neighbor, Random Forest, Support Vector Machine and Neural Networks to compare between the algorithms.Twitter is known for their fake account problem as the user base of Twitter has just grown with time so has the fake users. So, our paper is based on how we can detect this fake account and bots along with making Twitter more safer for its users. MD. Takiur Rahman Ataul Mim Likhon A. S. M Mus qur Rahman Mihadul H. Choudhury B. Computer Science and Engineering 2019-06-30T04:03:54Z 2019-06-30T04:03:54Z 2019 2019-05 Thesis ID 15101120 ID 15101096 ID 14301094 ID 19141038 http://hdl.handle.net/10361/12271 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 28 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Data mining Machine learning Fake account Twitter Bots Data mining Machine learning
spellingShingle	Data mining Machine learning Fake account Twitter Bots Data mining Machine learning Rahman, MD. Takiur Likhon, Ataul Mim Rahman, A. S. M Mus qur Choudhury, Mihadul H. Detection of fake identities on twitter using supervised machine learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
author2	Arif, Hossain
author_facet	Arif, Hossain Rahman, MD. Takiur Likhon, Ataul Mim Rahman, A. S. M Mus qur Choudhury, Mihadul H.
format	Thesis
author	Rahman, MD. Takiur Likhon, Ataul Mim Rahman, A. S. M Mus qur Choudhury, Mihadul H.
author_sort	Rahman, MD. Takiur
title	Detection of fake identities on twitter using supervised machine learning
title_short	Detection of fake identities on twitter using supervised machine learning
title_full	Detection of fake identities on twitter using supervised machine learning
title_fullStr	Detection of fake identities on twitter using supervised machine learning
title_full_unstemmed	Detection of fake identities on twitter using supervised machine learning
title_sort	detection of fake identities on twitter using supervised machine learning
publisher	BRAC University
publishDate	2019
url	http://hdl.handle.net/10361/12271
work_keys_str_mv	AT rahmanmdtakiur detectionoffakeidentitiesontwitterusingsupervisedmachinelearning AT likhonataulmim detectionoffakeidentitiesontwitterusingsupervisedmachinelearning AT rahmanasmmusqur detectionoffakeidentitiesontwitterusingsupervisedmachinelearning AT choudhurymihadulh detectionoffakeidentitiesontwitterusingsupervisedmachinelearning
_version_	1814308679923531776

Detection of fake identities on twitter using supervised machine learning

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