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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
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| Paper Title: | Deepfake Detection on Social Media |
| Authors Name: | Mrs. S. Sarala , M. Suresh Reddy , N. Sai Kiran Reddy , V. Sai Sharan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_189556
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| Published Paper Id: | IJRTI2404040 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | This paper showcases a simple deep learning model in combination with word embeddings is employed for the classification of tweets as human-generated or bot-generated using a publicly available Tweepfake dataset. A conventional Convolutional Neural Network (CNN) architecture is devised, leveraging Fast Text word embeddings, to undertake the task of identifying deepfake tweets. To showcase the superior performance of the proposed method, this study employed several machine learning models as baseline methods for comparison. These baseline methods utilized various features, including Term Frequency, Term Frequency- Inverse Document Frequency, FastText, and FastText subword embeddings. Moreover, the performance of the proposed method is also compared against other deep learning models such as Long short-term memory (LSTM) and CNN-LSTM displaying the effectiveness and highlighting its advantages in accurately addressing the task at hand. |
| Keywords: | Convolutional Neural Network, Random Forest Classifier, Tweet Classification, Fake tweet Detection |
| Cite Article: | "Deepfake Detection on Social Media", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.288 - 297, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404040.pdf |
| Downloads: | 000205386 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2404040
Registration ID:189556
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 288 - 297 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404040 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404040 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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