Multimodal fake news detection using text and image
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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| פורמט: | Thesis |
| שפה: | English |
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Brac University
2024
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| גישה מקוונת: | http://hdl.handle.net/10361/22652 |
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10361-22652 |
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10361-226522024-04-23T21:00:33Z Multimodal fake news detection using text and image Biswas, Trisha Lamia, Tasmim Afroj Shykat, Tarikul Islam Rafi, Md. Arifin Ahmed Sadeque,Farig Yousuf Department of Computer Science and Engineering, Brac University Natural language processing Multinomial naive bayes BERT Bi-GRU Bi-LSTM Word embedding Fake news Support vector machine Deep learning (Machine learning) Fake news--Prevention--Data processing. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 58-59). Development in information and technology has made the communication easier in the recent decades. Easy access of social media is creating restraints amid of differentiating fake and real news. In the recent period the problem has increased drastically and use of image is making the news more impactful. Even though news websites are publishing the news and provide the source of authentication still there are other portals and platform which intentionally spread fake news to exploit an event. In this paper we proposed a hybrid system where we are combining CNN and RNN to detect fake news . We applied two techniques to reduce the model complexity and increase accuracy based on text data and image. With this system, detecting fake news it’ll stop misleading people and creating an unstable situation as well as taking benefits of the situation. Trisha Biswas Tasmim Afroj Lamia Tarikul Islam Shykat Md. Arifin Ahmed Rafi B.Sc. in Computer Science 2024-04-23T05:29:03Z 2024-04-23T05:29:03Z ©2023 2023-05 Thesis ID: 20101628 ID: 19301190 ID: 19301008 ID: 19301009 http://hdl.handle.net/10361/22652 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. 69 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Natural language processing Multinomial naive bayes BERT Bi-GRU Bi-LSTM Word embedding Fake news Support vector machine Deep learning (Machine learning) Fake news--Prevention--Data processing. |
| spellingShingle |
Natural language processing Multinomial naive bayes BERT Bi-GRU Bi-LSTM Word embedding Fake news Support vector machine Deep learning (Machine learning) Fake news--Prevention--Data processing. Biswas, Trisha Lamia, Tasmim Afroj Shykat, Tarikul Islam Rafi, Md. Arifin Ahmed Multimodal fake news detection using text and image |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
| author2 |
Sadeque,Farig Yousuf |
| author_facet |
Sadeque,Farig Yousuf Biswas, Trisha Lamia, Tasmim Afroj Shykat, Tarikul Islam Rafi, Md. Arifin Ahmed |
| format |
Thesis |
| author |
Biswas, Trisha Lamia, Tasmim Afroj Shykat, Tarikul Islam Rafi, Md. Arifin Ahmed |
| author_sort |
Biswas, Trisha |
| title |
Multimodal fake news detection using text and image |
| title_short |
Multimodal fake news detection using text and image |
| title_full |
Multimodal fake news detection using text and image |
| title_fullStr |
Multimodal fake news detection using text and image |
| title_full_unstemmed |
Multimodal fake news detection using text and image |
| title_sort |
multimodal fake news detection using text and image |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22652 |
| work_keys_str_mv |
AT biswastrisha multimodalfakenewsdetectionusingtextandimage AT lamiatasmimafroj multimodalfakenewsdetectionusingtextandimage AT shykattarikulislam multimodalfakenewsdetectionusingtextandimage AT rafimdarifinahmed multimodalfakenewsdetectionusingtextandimage |
| _version_ |
1814306948048224256 |