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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A novel stacking approach for accurate detection of fake news |
| Authors Name: | Y. Indrasena Reddy , G. Anil kumar , K. Venkateshwarlu , S. B V M ramesh , Dr. S. Neduncheliyan |
| Unique Id: | IJSDR2304122 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Recently, because of the fast improvement of social media on the Internet, fake information for numerous commercial and political purposes seems in large numbers and is widely distributed in on line global. By using deceptive words, online social media customer scan without problems be inflamed through this faux information on-line, which has already had a amazing effect in the offline network. An critical challenge in increasing the credibility of statistics in online social networks is the timely detection of fake news. This articls pursuits to research concepts, methodologies and algorithms for detecting fake information articles, creators and topics from on-line social networks and comparing their effectiveness. Accurate record on the Internet, specifically on social media, is a growing trouble, however Internet records hinders the capability to identify, evaluate and accurate such records or, as it is referred to as, "faux news" gift on these systems. In this article we have proposed the way to locate "fake news" and how to do it on Facebook, one of the most popular on line social media systems. This method makes use of a Naive Bayes class version to are expecting where or not a Facebook post is flagged as real or faux. The outcomes may be improved in severe ways, which have been discussed within the article. The effects received advocate that the problem of detecting faux information may be solved by means of machine mastering strategies. |
| Keywords: | FakeNews,NaiveBayesClassification |
| Cite Article: | "A novel stacking approach for accurate detection of fake news", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.695 - 702, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304122.pdf |
| Downloads: | 000337348 |
| Publication Details: | Published Paper ID: IJSDR2304122 Registration ID:205027 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 695 - 702 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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