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IEEE access, 2024, Vol.12, p.53838-53854
2024
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Autor(en) / Beteiligte
Titel
Artificial Intelligence Blockchain Based Fake News Discrimination
Ist Teil von
  • IEEE access, 2024, Vol.12, p.53838-53854
Ort / Verlag
Piscataway: IEEE
Erscheinungsjahr
2024
Quelle
EZB-FREE-00999 freely available EZB journals
Beschreibungen/Notizen
  • This paper minimizes fake news, which has been a hot topic recently, using blockchain and artificial intelligence technology, and verifies it with blockchain. Also, using Artificial Intelligence technology, we want to create an algorithm that predicts how fake news will spread in the future. You can see various attempts at a news media platform based on Blockchain technology. However, the Blockchain news media platform is still not getting the market response we expected. It is questionable whether the reason is simply because it is a new technology, so it takes a long time to gain trust from consumers, whether consumers are not yet expecting an innovative news media platform, or whether the explosive growth of the Blockchain news media platform is difficult for other reasons. Research to answer this or direct research between Blockchain and media platforms is still lacking. In addition, the method of verifying fake news using artificial intelligence was verified, ANN, CBR, and MDA were changed, and the experiment was verified for progress. In addition, the use of 5-fold cross-validation as a comparative method was added as described above to more closely examine the possibility of its usefulness even in general situations. Also, through various fields of artificial intelligence and blockchain, verification work was done with blockchain, and fake news prediction was made using artificial intelligence. Various experiments were conducted and performance tests were performed, while the performance of about 5,000 TTPS was recorded through the third experiment. In the future, we think it is necessary to combine Artificial Intelligence and blockchain technology.
Sprache
Englisch
Identifikatoren
ISSN: 2169-3536
eISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3384338
Titel-ID: cdi_ieee_primary_10488363

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