Detecting Fake Information Dissemination using Leveraging Machine Learning and DRIMUX with B-LSTM
- Title
- Detecting Fake Information Dissemination using Leveraging Machine Learning and DRIMUX with B-LSTM
- Creator
- Kaneti V.R.; Venkatesan M.; Sharma H.; Bodhankar A.; Bajaj R.; Ganesh Kumar R.; Pokhariya H.S.; Deepak A.
- Description
- Information integrity and public confidence are seriously threatened by the rapid expansion of fake news and misinformation that has resulted from the online broadcast of information. This work focuses on the detection of fraudulent information propagation utilizing machine learning techniques and the Digital Reputation and Influence Measurement Unit (DRIMUX) in order to address this problem. The use of Bidirectional Long Short-Term Memory (B-LSTM) networks into the detection process is something we really advocate. B-LSTM enables the capture of contextual dependencies from both past and future time steps, enhancing the understanding of sequential data. Additionally, DRIMUX provides reputation and influence measurements to assess the credibility of information sources. Experimental analyses on various datasets reveal the promising performance of the suggested methodology, highlighting its potential in preventing the spread of false information and protecting the veracity of digital information. 2024, Ismail Saritas. All rights reserved.
- Source
- International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 5s, pp. 91-100.
- Date
- 2024-01-01
- Publisher
- Ismail Saritas
- Subject
- Accuracy; B-LSTM; DRIMUX; Fake Information Dissemination Detection; Machine Learning
- Coverage
- Kaneti V.R., Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Telangana, Hyderabad, India; Venkatesan M., Dr. D.Y. Patil Institute of Technology, Pune-18, Pimpri, India; Sharma H., Computer Engineering and Applications, GLA University, Mathura, India; Bodhankar A., Department of Decision Sciences, Dr. Ambedkar Institute of Management Studies and Research, Maharashtra, India; Bajaj R., NB Global University, Rajasthan, Bikaner, India; Ganesh Kumar R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kanminike, Bangalore, India; Pokhariya H.S., Department of Computer Science & Engineering, Graphic Era Deemed to be University, Uttarakhand, Dehradun, India; Deepak A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, India
- Rights
- Restricted Access
- Relation
- ISSN: 21476799
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Kaneti V.R.; Venkatesan M.; Sharma H.; Bodhankar A.; Bajaj R.; Ganesh Kumar R.; Pokhariya H.S.; Deepak A., “Detecting Fake Information Dissemination using Leveraging Machine Learning and DRIMUX with B-LSTM,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/13822.