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Hybrid approach and architecture to detect fake news on twitter in real-time using neural networks

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dc.contributor.author Thilakarathna, MP
dc.contributor.author Wijayasekara, VA
dc.contributor.author Gamage, Y
dc.contributor.author Peiris, KH
dc.contributor.author Abeysinghe, C
dc.contributor.author Rafaideen, I
dc.contributor.author Vekneswaran, P
dc.contributor.editor Karunananda, AS
dc.contributor.editor Talagala, PD
dc.date.accessioned 2022-11-16T04:09:38Z
dc.date.available 2022-11-16T04:09:38Z
dc.date.issued 2020-12
dc.identifier.citation M. P. Thilakarathna et al., "Hybrid Approach and Architecture to Detect Fake News on Twitter in Real-Time using Neural Networks," 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-6, doi: 10.1109/ICITR51448.2020.9310890. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19517
dc.description.abstract Fake news has been a key issue since the dawn of social media. Currently, we are at a stage where it is merely impossible to differentiate between real and fake news. This directly and indirectly affects people's decision patterns and makes us question the credibility of the news shared via social media platforms. Twitter is one of the leading social networks in the world by active users. There has been an exponential spread of fake news on Twitter in the recent past. In this paper, we will discuss the implementation of a browser extension which will identify fake news on Twitter using deep learning models with a focus on real-world applicability, architectural stability and scalability of such a solution. Experimental results show that the proposed browser extension has an accuracy of 86% accuracy in fake news detection. To the best of our knowledge, our work is the first of its kind to detect fake news on Twitter real-time using a hybrid approach and evaluate using real users. en_US
dc.language.iso en en_US
dc.publisher Faculty of Information Technology, University of Moratuwa. en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9310890 en_US
dc.subject Fake news detection en_US
dc.subject Machine learning en_US
dc.subject Social media en_US
dc.subject Twitter en_US
dc.title Hybrid approach and architecture to detect fake news on twitter in real-time using neural networks en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2020 en_US
dc.identifier.conference 5th International Conference in Information Technology Research 2020 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.proceeding Proceedings of the 5th International Conference in Information Technology Research 2020 en_US
dc.identifier.doi doi: 10.1109/ICITR51448.2020.9310890 en_US


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  • ICITR - 2020 [27]
    International Conference on Information Technology Research (ICITR)

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