MINIMIZE THE SPREADING OF FAKE NEWS AND FORMING FAKE USER GROUP Journal of Theoretical and Applied Information Technology, 2022
Social Media Fake News Detection using mNB in Blockchain Akash Dnyandeo Waghmare, Girish Kumar Patnaik International Conference on Sustainable Computing and Data Communication Systems Icscds 2022 Proceedings, 2022 Nowadays, due to the high usage of social media-based global news, verification and authentication is a very challenging task. Most social media platforms are easily enabled to access news anytime, anywhere over the internet, but it also produces a lot of false news and false information simultaneously. Therefore, in such a case, it is necessary to determine whether available information is genuine, whether it is fake or real. This allows users to make confused and lose the trust of social media. A blockchain-based fake news detection can better handle such problems. The proposed classification algorithm is used to detect fake news in training and testing evolution. Another major objective of this work is to revoke the attackers who update the published news. The blockchain-based decentralized peer-to-peer environment has been used to protect the published data even in a vulnerable environment Various features extraction and selection techniques have been used to generate effective training rules and validate the test classifier accordingly. An extensive experimental analysis demonstrates the classification accuracy of fake news detection on the LIAR dataset. The system achieves 95.20% average accuracy for training as well as testing, which is higher than conventional machine learning algorithms like SVM, ANN, NB etc.
Fake news detection of social media news in blockchain framework Akash Dnyandeo Waghmare, Dr. Girish Kumar Patnaik Indian Journal of Computer Science and Engineering, 2021 Social media news are most important in today’s worlds, it puts positive or negative influence on social views. There is a wide propagation of fake news on social media so it will be difficult to believe on the news. Fake news has negative impacts on individuals as well as on society. Information spreads rapidly over the social media and so there is a need of mechanism which detects and stops the spreading of fake news. Therefore, detection of fake news is the need of time and also a challenging problem. The goal of this proposed research work is to detect fake news and minimize spreading of the fake news. In the proposed research a machine learning approach is used for detection of fake news with blockchain framework. In first section a supervised machine learning techniques is design to identify the trustiness of specific news while blockchain framework revoke the malicious activity of spreading fake news. A blockchain environment is created with mining, smart contract as well as Proof of Work (PoW) of consensus. The current systematic review broadly focuses on the various methods to detect fake news in social media. After partial implementation of system, performance evaluation has done with traditional blockchain framework. It is found that 10% less time for transaction verification by consensus in P2P environment over the existing systems.
RECENT SCHOLAR PUBLICATIONS
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MOST CITED SCHOLAR PUBLICATIONS
Fake news detection of social media news in blockchain framework AD Waghmare, GK Patnaik Indian J. Comput. Sci. Eng 12 (4), 972-980 , 2021 2021.0 Citations: 18
Social Media Fake News Detection using mNB in Blockchain AD Waghmare, GK Patnaik IEEE International Conference on Sustainable Computing and Data … , 2022 2022.0 Citations: 13
Code clone detection based on logical similarity: A review AN Runwal, AD Waghmare IEEE Access , 2017 2017.0 Citations: 3
An Approach for Content Based Image Retrieval Using Similarity Measures RA Mundada, AD Waghmare IJCST 4 (3), 124-128 , 2016 2016.0 Citations: 1
Generation of Regular Expression from Aligned Sequences of Text Snippets ADW Dr. Girishkumar K. Patnaik, Dinesh D. Puri The Ciência & Engenharia -Science & Engineering Journal 11 (1), 1376-1385 , 2023 2023.0
Identification of Source of Misleading Information and Stop the Dissemination through Blocking the User DGKP Akash D. Waghmare, Dinesh D. Puri The Ciência & Engenharia -Science & Engineering Journal 11 (1), 1364 – 1375 , 2023 2023.0
Minimize The Spreading of Fake News and Forming Fake User Group ADW Dr. G. K. Patnaik Journal of Theoretical and Applied Information Technology (JATIT) 100 (17 … , 2022 2022.0
Blockchain based False Information Detection using Majority Voting ADW Dr. Girish. K. Patnaik International Conference on Emerging trends in Engineering and Technology … , 2022 2022.0
Systematic Literature Review of Blockchain Applications in Different Domains, Challenges and Opportunities ADW Dr. G. K. Patnaik Atharva , 2019 2019.0
A Survey on Detection of Disinformation ADW Dr. G. K. Patnaik International Journal of Management, Technology And Engineering 9 (Issue I … , 2019 2019.0
Privacy Preservation of Data using Hybrid Approach GSBAD Waghmare International Journal of Management, Technology And Engineering 9 (Issue I … , 2019 2019.0
Study and Review of Hybrid Approach for Privacy Preserving Data Mining GSBAD Waghmare International Conference Proceeding ICGTETM, 469-473 , 2017 2017.0
Forecasting Model to Predict Startup Success and Suggested Locations to Optimize Business Expansion AD Waghmare, DD Puri, GK Patnaik, MDS Tayade
CACHE MECHANISM TO AVOID DULPICATION OF SAME THING IN HADOOP SYSTEM TO SPEED UP THE EXTENSION RA Mundada, AA Waghmare
